
Associate Professor Kaushik Mahata
Associate Professor
School of Electrical Engineering and Computing (Electrical and Computer Engineering)
- Email:kaushik.mahata@newcastle.edu.au
- Phone:(02) 4921 6422
The clever processes driving new engineering solutions
Algorithm architect, Associate Professor Kaushik Mahata’s purpose-built mathematical processes are making new engineering innovations, solutions and products possible.
Associate Professor Kaushik Mahata is an expert at developing mathematical algorithms to solve complex problems and inform real-world solutions.
Together with his team, Kaushik’s work provides a way to capture and identify patterns in field data. The team can then interpret the data in a way that is meaningful for their industry research partners, whether that’s to help create new products, test and improve technologies or even inform resource funding. While the team primarily operates in the field of engineering, the application of their work is impressively diverse.
“Our team has the ability to work on a variety of practical problems that arise in a wide range of engineering applications,” says Associate Professor Kaushik Mahata.
“That means that the impact of our research goes far beyond the domain of my discipline of electrical engineering. It is highly applicable for multiple industry purposes.”
Processing data and signals
Data comes in many varied forms. For Kaushik's work, a typical source of data includes the signals received by different types of antennas and sensors. A signal’s information is extracted and analysed using purpose-built, sophisticated mathematical algorithms.
“Our algorithms can process signals received by the antenna mounted on an aircraft to locate other flying objects nearby. Alternatively, it could produce an image by processing the signals collected by an ultrasound scanner. Or it could process the signals received by sensors mounted on a car to identify surrounding objects like other cars or roadside signs, which could ultimately allow cars to drive themselves.”
Kaushik shares that the speed of computers and progress in the underlying mathematical theories are both significant challenges to processing data and signals quickly and effectively. But his team is up for the challenge—and their results are helping to shape the next digital frontier.
Real-world industry solutions
Taking a highly practical, problem-solving approach to research, Kaushik is always keen to collaborate with industry partners to ensure his research informs immediate solutions.
Kaushik’s work is judiciously guided by industry needs, making it highly relevant and sought-after. The demand from industry also means the hard-working team usually has multiple research projects on the go at any one time.
Right now, Kaushik and his team are working to develop fast computer vision methods to produce 3D maps, which can be used by driverless cars. They are also developing new methods that allow a significantly higher number of wireless devices to access the wireless machine-to-machine networks powered by 5G technology. Finally, his team is developing methods to produce high-quality results in radar, LiDAR and sonar using inexpensive sensors.
“Our work has formed the foundation for many industry partners to develop successful new products. These new products then create new jobs and opportunities, contributing to broad technological and industry advancements.”
The clever processes driving new engineering solutions
Algorithm architect, Associate Professor Kaushik Mahata’s purpose-built mathematical processes are making new engineering innovations, solutions and products possible.Associate Professor Kaushik Mahata is an expert at developing mathematical algorithms to solve complex problems and inform real-world solutions.Together with his team, Kaushik’s…
Career Summary
Biography
Kaushik's primary area of research is Signal Processing.
Keywords
- Electrcial/Computer/Telecom Engineering
- Optimization
- Signal Processing
- System Identification
- Telecommunication
Languages
- English (Fluent)
- Bengali (Fluent)
Professional Experience
UON Appointment
Title | Organisation / Department |
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Associate Professor | University of Newcastle School of Electrical Engineering and Computing Australia |
Associate Professor | University of Newcastle School of Electrical Engineering and Computing Australia |
Publications
For publications that are currently unpublished or in-press, details are shown in italics.
Chapter (2 outputs)
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2018 |
Hyder MM, Mahata K, 'Fast and flexible initial uplink synchronization for long-term evolution', Emerging Wireless Communication and Network Technologies: Principle, Paradigm and Performance, Springer Nature, Singapore 193-211 (2018) [B1]
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2014 |
Hyder M, Mahata, 'Source Localization and Tracking: A Sparsity-Exploiting Maximum a Posteriori Based Approach', Blind Source Separation: Advances in Theory, Algorithms and Applications, Springer, Heidelberg, Germany 259-287 (2014) [B1]
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Journal article (59 outputs)
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2021 |
Hyder MM, Mahata K, Hasan SM, 'A new target localization method for bistatic FDA radar', Digital Signal Processing: A Review Journal, 108 (2021) © 2020 Elsevier Inc. Different transmit antenna elements in a frequency diverse array (FDA) radar transmit different frequencies. This makes the transmitted beam to continuously c... [more] © 2020 Elsevier Inc. Different transmit antenna elements in a frequency diverse array (FDA) radar transmit different frequencies. This makes the transmitted beam to continuously change its orientation, and enables an FDA to scan the space around itself in a simple manner. Furthermore, an FDA can find the range as well as the direction of each target simultaneously. The achievable resolution of direction estimation depends on the receive array geometry. The range resolution can be enhanced by decreasing the width of transmit beam, which depends on the transmit array geometry. The later property makes FDA especially attractive because it is no longer necessary to produce sharp, wideband, and high power pulses to achieve high range resolution. FDA has been studied mostly for collocated transmit and receive array, and a very little has been done on its application in bistatic radar. In this paper we propose a new signal transmission scheme for bistatic FDA radar, and demonstrate how one can detect and localize the targets accurately using a computationally efficient algorithm. The proposed signal transmission scheme is designed to produce the narrowest transmit beam for a given number of transmit antennas. This achieves significantly better detection and localization performance compared to the existing methods. Our estimation approach uses a fast algorithm to produce some initial estimates that can be used to initialize a numerical algorithm for computing the maximum likelihood estimates. We also derive the Cramér Rao bound (CRB) associated with the estimation problem, and demonstrate that the variances of the estimates produced by the proposed method are close to corresponding CRBs.
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2020 |
Mahata K, Hyder MM, 'A New Perspective on the Initial Uplink Synchronization Problem', IEEE Access, 8 212258-212279 (2020) [C1] © 2013 IEEE. We explore the frequency domain properties of the signal model associated with the initial uplink synchronization (IUS) problem, and provide some new insights. We sho... [more] © 2013 IEEE. We explore the frequency domain properties of the signal model associated with the initial uplink synchronization (IUS) problem, and provide some new insights. We show that the adverse effects of carrier frequency offset (CFO) are confined in a small region in the frequency domain. We present a new code design approach that avoids the above mentioned region to cancel the adverse effects of CFO. In this design the codes of different users occupy mutually disjoint intervals on the frequency axis. In this way we minimize the interference between different codes, and thereby, allow considerably large number of simultaneous IUS users in the system. For the proposed codes, we design a simple energy detector. This detector relies on classical results from statistical detection theory. We also propose a simple timing offset estimation technique, which requires us to locate the maximum in a periodogram. The resulting detection-estimation algorithms are simple, non-iterative, fast and accurate. The utility of the proposed design is illustrated using numerical simulation results.
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2020 |
Mahata K, Hyder MM, 'Parametric localisation in frequency diverse array', IET Radar, Sonar and Navigation, 14 716-727 (2020) [C1]
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2020 |
Hasan SM, Mahata K, Hyder MM, 'Joint uplink SCMA codebook design for correlated fading channels', Physical Communication, 39 (2020) [C1]
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2020 |
Mahata K, Hyder MM, 'Sparse deconvolution via off-grid T.V minimization', Signal Processing, 170 (2020) [C1]
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2019 |
Hyder MM, Mahata K, 'Improved LTE like initial uplink synchronization via reduced problem dimension', Computer Communications, 144 57-65 (2019) [C1]
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2018 |
Mahata K, Hyder MM, 'Fast frequency estimation with prior information', IEEE Transactions on Signal Processing, 66 264-273 (2018) [C1]
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2017 |
Hyder MM, Mahata K, 'Zadoff-Chu Sequence Design for Random Access Initial Uplink Synchronization in LTE-Like Systems', IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 16 503-511 (2017) [C1]
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2017 |
Hyder MM, Mahata K, 'Fast Uplink Synchronization in LTE-Like Systems', IEEE COMMUNICATIONS LETTERS, 21 2424-2427 (2017) [C1]
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2017 |
Mahata K, Hyder MM, 'Grid-less T.V minimization for DOA estimation', SIGNAL PROCESSING, 132 155-164 (2017) [C1]
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2016 |
Hyder MM, Mahata K, 'Reconfiguration of distribution system using a binary programming model', AIMS ENERGY, 4 461-480 (2016) [C1]
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2016 |
Hyder MM, Mahata K, 'A Sparse Recovery Method for Initial Uplink Synchronization in OFDMA Systems', IEEE TRANSACTIONS ON COMMUNICATIONS, 64 377-386 (2016) [C1]
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2016 |
Mahata K, Mitra A, Mitra S, 'Consistency of M-estimators of nonlinear signal processing models', STATISTICAL METHODOLOGY, 28 18-36 (2016) [C1]
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2016 |
Mahata K, Schoukens J, De Cock A, 'Information matrix and D-optimal design with Gaussian inputs for Wiener model identification', AUTOMATICA, 69 65-77 (2016) [C1]
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2016 |
Mahata K, Hyder MM, 'Frequency Estimation From Arbitrary Time Samples', IEEE TRANSACTIONS ON SIGNAL PROCESSING, 64 5634-5643 (2016) [C1]
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2015 |
Asheralieva A, Mahata K, 'Resource allocation for LTE-based cognitive radio network with queue stability and interference constraints', Physical Communication, 14 1-13 (2015) [C1] © 2014 Elsevier B.V. We consider the problem of interference management and resource allocation in a cognitive radio network (CRNs) where the licensed spectrum holders (primary us... [more] © 2014 Elsevier B.V. We consider the problem of interference management and resource allocation in a cognitive radio network (CRNs) where the licensed spectrum holders (primary users) share their spare capacity with the non-licensed spectrum holders (secondary users). Under such shared spectrum usage the transmissions of the secondary users should have a minimal impact on the quality of service (QoS) and the operating conditions of the primary users. Therefore, it is important to distinguish the two types of users, and formulate the problem of resource allocation considering hard restrictions on the user-perceived QoS (such as packet end-to-end delay and loss) and physical-layer channel characteristics (such as noise and interference) of the primary users. To achieve this goal, we propose to assign the bandwidth and transmission power to minimize the total buffer occupancy in the system subject to capacity constraints, queue stability constraints, and interference requirements of the primary users. We apply this approach for resource allocation in a CRN built upon a Third Generation Partnership Project (3GPP) long-term evolution (LTE) standard platform. Performance of the algorithm is evaluated using simulations in OPNET environment. The algorithm shows consistent performance improvement when compared with other relevant resource allocation techniques.
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2014 |
Asheralieva A, Mahata K, 'A two-step resource allocation procedure for LTE-based cognitive radio network', COMPUTER NETWORKS, 59 137-152 (2014) [C1]
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2014 |
Asheralieva A, Mahata K, 'Joint power and bandwidth allocation in IEEE802.22 based cognitive LTE network', Computer Networks, 71 117-129 (2014) [C1] We investigate the problem of energy-efficient dynamic spectrum access (DSA) in a cognitive Third Generation Partnership Project (3GPP) long-term evolution (LTE) network based on ... [more] We investigate the problem of energy-efficient dynamic spectrum access (DSA) in a cognitive Third Generation Partnership Project (3GPP) long-term evolution (LTE) network based on IEEE802.22 architecture. In this architecture, the network resources are allocated to the end-users and the evolved NodeBs (eNBs) by the spectrum manager (SM) using some optimal resource allocation strategy. In particular, we propose to assign the bandwidth and transmission power to the uplink and downlink of LTE system so that the total transmission power is minimized subject to capacity constraints, queue stability constraints, and some integer restrictions on the bandwidth. To find the buffer occupancy in the system, we use modified Shannon expression which depends on signal-to-noise ratio (SNR) and modulation and coding scheme (MCS). Unlike previous works, the proposed resource allocation algorithm is derived based on realistic assumptions, such as discrete spectrum resources, relation between transmission rate, MCS and the channel quality. Performance of the algorithm is evaluated using simulations in OPNET environment. The algorithm shows consistent performance improvement when compared with other relevant resource allocation techniques. © 2014 Elsevier B.V. All rights reserved.
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2014 |
Karvinen KS, Ruppert MG, Mahata K, Moheimani SOR, 'Direct tip-sample force estimation for high-speed dynamic mode atomic force microscopy', IEEE Transactions on Nanotechnology, 13 1257-1265 (2014) [C1] © 2002-2012 IEEE. We present new insights into the modeling of the microcantilever in dynamic mode atomic force microscopy and outline a novel high-bandwidth tip-sample force esti... [more] © 2002-2012 IEEE. We present new insights into the modeling of the microcantilever in dynamic mode atomic force microscopy and outline a novel high-bandwidth tip-sample force estimation technique for the development of high-bandwidth z -axis control. Fundamental to the proposed technique is the assumption that in tapping mode atomic force microscopy, the tip-sample force takes the form of an impulse train. Formulating the estimation problem as a Kalman filter, the tip-sample force is estimated directly; thus, potentially enabling high-bandwidth z-axis control by eliminating the dependence of the control technique on microcantilever dynamics and the amplitude demodulation technique. Application of this technique requires accurate knowledge of the models of the microcantilever; a novel identification method is proposed. Experimental data are used in an offline analysis for verification.
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2013 |
Mahata K, 'Variance error, interpolation and experiment design', AUTOMATICA, 49 1117-1125 (2013) [C1]
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2013 |
Gunnaasankaraan H, Viswanath A, Mahata K, Goel L, 'Transmission planning by minimizing curtailment of market transactions', ELECTRIC POWER SYSTEMS RESEARCH, 101 1-8 (2013) [C1]
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2012 |
Marelli DE, Mahata K, Fu M, 'A new encoder for continuous-time Gaussian signals with fixed rate and reconstruction delay', IEEE Transactions on Signal Processing, 60 3052-3064 (2012) [C1]
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2012 |
Carvajal R, Mahata K, Aguero JC, 'Low complexity Wiener filtering in CDMA systems using a class of pseudo-noise spreading codes', IEEE Communications Letters, 16 1357-1360 (2012) [C1]
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2012 |
Asheralieva A, Khan JY, Mahata K, 'Performance of LTE network for VoIP users', INTERNATIONAL JOURNAL OF INTERNET PROTOCOL TECHNOLOGY, 7 3-14 (2012)
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2012 |
Ong EH, Khan JY, Mahata K, 'Radio resource management of composite wireless networks: Predictive and reactive approaches', IEEE Transactions on Mobile Computing, 11 807-820 (2012) [C1]
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2012 |
Asheralieva A, Khan JY, Mahata K, 'Performance of LTE network for VoIP users', International Journal of Internet Protocol Technology, 7 3-14 (2012) [C1]
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2012 |
Hyder MM, Mahata K, 'Maximum a posteriori based approach for target detection in MTI radar', IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2 392-401 (2012) [C1]
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2011 |
Marelli DE, Mahata K, Fu M, 'Hybrid filterbank ADCs with blind filterbank estimation', IEEE Transactions on Circuits and Systems I: Regular Papers, 58 2446-2457 (2011) [C1]
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2011 |
Mahata K, 'A subspace algorithm for wideband source localization without narrowband filtering', IEEE Transactions on Signal Processing, 59 3470-3475 (2011) [C1]
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2011 |
Hyder MM, Mahata K, 'Coherent spectral analysis of asynchronously sampled signals', IEEE Signal Processing Letters, 18 126-129 (2011) [C1]
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2010 |
Hyder MM, Mahata K, 'Direction-of-arrival estimation using a mixed 2,0 norm approximation', IEEE Transactions on Signal Processing, 58 4646-4655 (2010) [C1]
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2010 |
Hyder MM, Mahata K, 'An improved smoothed l(0) approximation algorithm for sparse representation', IEEE Transactions on Signal Processing, 58 2194-2205 (2010) [C1]
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2009 |
Marelli DE, Mahata K, Fu M, 'Linear LMS compensation for timing mismatch in time-interleaved ADCs', IEEE Transactions on Circuits and Systems I-Regular Papers, 56 2476-2486 (2009) [C1]
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2009 |
Hyder MM, Mahata K, 'A robust algorithm for joint-sparse recovery', IEEE Signal Processing Letters, 16 1091-1094 (2009) [C1]
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2007 |
Mahata K, Fu M, 'A robust interpolation algorithm for spectral analysis', IEEE Transactions on Signal Processing, 55 4851-4861 (2007) [C1]
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2007 |
Mahata P, Mahata K, 'Selecting differentially expressed genes using minimum probability of classification error', Journal of Biomedical Informatics, 40 775-786 (2007) [C1]
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2007 |
Mahata K, Soderstrom T, 'Bayesian approaches for identification of the complex modulus of viscoelastic materials', Automatica, 43 1369-1376 (2007) [C1]
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2007 |
Mahata K, Fu M, 'On the indirect approaches for CARMA model identification', Automatica, 43 1457-1463 (2007) [C1]
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2007 |
Mahata K, 'An improved bias-compensation approach for errors-in-variables model identification', Automatica, 43 1339-1354 (2007) [C1]
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2007 |
Mahata K, Garnier H, 'Identification of continuous-time Box-Jenkins models with arbitrary time-delay', Proceedings of the IEEE Conference on Decision and Control, 3640-3645 (2007) An extended instrumental variable algorithm is proposed for identification of systems with arbitrary time delays. Our algorithm can handle time-delays which may be non-integer mul... [more] An extended instrumental variable algorithm is proposed for identification of systems with arbitrary time delays. Our algorithm can handle time-delays which may be non-integer multiple of the sampling interval. It is further shown that the proposed approach can achieve the asymptotic Cramér-Rao bound by properly tuning the user's choices. In simulations the algorithm gives unbiased parameter estimates with good statistical accuracy. © 2007 IEEE.
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2007 |
Thil S, Garnier H, Gilson M, Mahata K, 'Continuous-time model identification from noisy input/output measurements using fourth-order cumulants', Proceedings of the IEEE Conference on Decision and Control, 4257-4262 (2007) In this paper, the problem of identifying stochastic linear continuous-time systems from noisy input/output data is addressed. The input of the system is assumed to be non-Gaussia... [more] In this paper, the problem of identifying stochastic linear continuous-time systems from noisy input/output data is addressed. The input of the system is assumed to be non-Gaussian, whereas the noises contaminating the data are assumed to be Gaussian. The fourth-order cumulants of the input/output data are then (asymptotically) insensitive to the noises, that can be coloured and/or mutually correlated. Two estimators based on this noise-cancellation property are proposed. The performance of the proposed algorithms are assessed through a numerical simulation. © 2007 IEEE.
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2006 |
Mahata K, Mousavi S, Soderstrom T, 'On the estimation of complex modulus and Poisson's ratio using longitudinal wave experiments', Mechanical Systems and Signal Processing, 20 2080-2094 (2006) [C1]
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2006 |
Mahata K, Fu M, 'Modeling continuous-time processes via input-to-state filters', Automatica, 42 1073-1084 (2006) [C1]
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2006 |
Mahata K, Garnier H, 'Identification of continuous-time errors-in-variables models', Automatica, 42 1477-1490 (2006) [C1]
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2006 |
Mahata K, Pintelon R, Schoukens J, 'On Parameter Estimation Using Nonparametric Noise Models', IEEE Transactions on Automatic Control, 51 1602-1612 (2006) [C1]
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2005 |
Mahata K, 'Spectrum estimation, notch filters, and MUSIC', IEEE Transactions on Signal Processing, 53 3727-3737 (2005) [C1]
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2005 |
Mahata K, 'Subspace fitting approaches for frequency estimation using real-valued data', IEEE Transactions on Signal Processing, 53 3099-3110 (2005) [C1]
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2005 |
Mahata K, Mousavi S, Soderstrom T, Valdek U, 'Using boundary conditions for estimation of complex modulus from flexural wave experiments', IEEE Transactions on Control Systems Technology, 13 1093-1099 (2005) [C1]
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2004 |
Mahata K, Söderström T, Hillström L, 'Computationally efficient estimation of wave propagation functions from 1-D wave experiments on viscoelastic materials', Automatica, 40 713-727 (2004) [C1] Least-squares based non-parametric estimation of the wave propagation functions of a viscoelastic material is considered in this paper. Widely used nonlinear least-squares-based a... [more] Least-squares based non-parametric estimation of the wave propagation functions of a viscoelastic material is considered in this paper. Widely used nonlinear least-squares-based algorithms are often computationally expensive and suffer from numerical problems. In this paper, we propose a class of subspace estimators which assume equidistant sensor configuration. The proposed estimator is computationally economical and numerically robust. Analytical expressions for the estimation accuracy have been derived. It is also shown that the subspace estimator achieves the optimal accuracy under the optimal weighting. The algorithm is employed on simulated data as well as on real experimental data. The results therefrom are shown to confirm the analytical results. © 2003 Elsevier Ltd. All rights reserved.
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2004 |
Mahata K, Soderstrom T, 'Improved estimation performance using known linear constraints', Automatica, 40 1307-1318 (2004) [C1]
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2004 |
Bhikkaji B, Mahata K, Soderstrom T, 'Reduced order models for two-dimensional diffusion systems', International Journal of Control, 77 1532-1548 (2004) [C1]
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2004 |
Mahata K, Pintelon R, Schoukens J, 'Frequency domain identification using non-parametric noise models', 2004 43RD IEEE CONFERENCE ON DECISION AND CONTROL (CDC), VOLS 1-5, 821-826 (2004)
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2004 |
Mahata K, Soderstrom T, 'ESPRIT-like estimation of real-valued sinusoidal frequencies', IEEE TRANSACTIONS ON SIGNAL PROCESSING, 52 1161-1170 (2004) [C1]
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2004 |
Mahata K, Soderstrom T, 'Large sample properties of separable nonlinear least squares estimators', IEEE transactions on signal processing, 52 1650-1658 (2004) [C1]
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2003 |
Söderström T, Mahata K, Soverini U, 'Identification of dynamic errors-in-variables models: Approaches based on two-dimensional ARMA modeling of the data', Automatica, 39 929-935 (2003) [C1] In this paper we propose a parametric and a non-parametric identification algorithm for dynamic errors-in-variables model. We show that the two-dimensional process composed of the... [more] In this paper we propose a parametric and a non-parametric identification algorithm for dynamic errors-in-variables model. We show that the two-dimensional process composed of the input-output data admits a finite order ARMA representation. The non-parametric method uses the ARMA structure to compute a consistent estimate of the joint spectrum of the input and the output. A Frisch scheme is then employed to extract an estimate of the joint spectrum of the noise free input-output data, which in turn is used to estimate the transfer function of the system. The parametric method exploits the ARMA structure to give estimates of the system parameters. The performances of the algorithms are illustrated using the results obtained from a numerical simulation study. © 2003 Published by Elsevier Science Ltd.
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2003 |
Mahata K, Mousavi S, Söderström T, Mossberg M, Valdek U, Hillström L, 'On the use of flexural wave propagation experiments for identification of complex modulus', IEEE Transactions on Control Systems Technology, 11 863-874 (2003) [C1] In this paper, we investigate the nonparametric estimation of the frequency dependent complex modulus of a viscoelastic material. The strains due to flexural wave propagation In a... [more] In this paper, we investigate the nonparametric estimation of the frequency dependent complex modulus of a viscoelastic material. The strains due to flexural wave propagation In a bar specimen are registered at different cross sections. The time domain data is transformed into frequency domain using discrete Fourier transform and a nonlinear least squares algorithm is then employed to estimate the complex modulus at each frequency. Inherent numerical problems due to associated ill-conditioned matrices are treated with special care. An analysis of the quality of the nonlinear least squares estimate is also carried out. The validity of the theoretical results are confirmed by numerical studies and experimental tests.
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2002 |
Söderström T, Mahata K, 'On instrumental variable and total least squares approaches for identification of noisy systems', International Journal of Control, 75 381-389 (2002) [C1] Many practical system identification problems can be formulated as linear regression problems. The parameter estimates can be computed using instrumental variables (IV) or total l... [more] Many practical system identification problems can be formulated as linear regression problems. The parameter estimates can be computed using instrumental variables (IV) or total least squares (TLS) estimators, both of which have moderate computational complexity. In this work, explicit expressions for the asymptotic covariance matrix of the TLS estimates is derived and is shown to be same as that of the IV method. The accuracy of the parameter estimates for an errors-in-variables model using the above methods has been treated in particular, as standard analysis does not apply. The results obtained from the numerical simulations show that the practical behaviour of the estimators is well predicted by the theoretical results. We provide an explanation why for finite samples, the IV approach is found to be somewhat more robust than the TLS approach. On the other hand, the TLS approach has lower computational load than the IV method.
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2002 |
Söderström T, Soverini U, Mahata K, 'Perspectives on errors-in-variables estimation for dynamic systems', Signal Processing, 82 1139-1154 (2002) [C1] The paper gives an overview of various methods for identifying dynamic errors-in-variables systems. Several approaches are classified by how the original information in time-serie... [more] The paper gives an overview of various methods for identifying dynamic errors-in-variables systems. Several approaches are classified by how the original information in time-series data of the noisy input and output measurements is condensed before further processing. For some methods, such as instrumental variable estimators, the information is condensed into a nonsymmetric covariance matrix as a first step before further processing. In a second class of methods, where a symmetric covariance matrix is used instead, the Frisch scheme and other bias-compensation approaches appear. When dealing with the estimation problem in the frequency domain, a milder data reduction typically takes place by first computing spectral estimators of the noisy input-output data. Finally, it is also possible to apply maximum likelihood and prediction error approaches using the original time-domain data in a direct fashion. This alternative will often require quite high computational complexity but yield good statistical efficiency. The paper is also presenting various properties of parameter estimators for the errors-in-variables problem, and a few conjectures are included, as well as some perspectives and experiences by the authors. © 2002 Elsevier Science B.V. All rights reserved.
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Show 56 more journal articles |
Conference (62 outputs)
Year | Citation | Altmetrics | Link | ||||||||
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2020 |
Hasan SM, Mahata K, Hyder MM, 'Sparse Code Multiple Access Codebook Design using Equiangular Tight Frames', 2020 IEEE International Conference on Communications. Proceedings, Dublin, Ireland (2020) [E1]
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2018 |
Wanady I, Viswanath A, Mahata K, 'Solar Forecasting for Power System Operator', 2018 IEEE ELECTRICAL POWER AND ENERGY CONFERENCE (EPEC), Toronto, CANADA (2018) [E1]
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2016 |
Gunnaasankaraan H, Viswanath A, Mahata K, 'Transmission Expansion for Profit Maximization of Generators in a Decentralised Market Structure', 2016 IEEE ELECTRICAL POWER AND ENERGY CONFERENCE (EPEC), Ottawa, CANADA (2016) [E1]
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2016 |
Gunnaasankaraan H, Dilwali K, Viswanath A, Mahata K, 'Strategic bidding and transmission rights purchase for generator's payoff maximisation', Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015 (2016) [E1] © 2015 IEEE. As the electricity market transits into deregulation, customers and generators are given the liberty of deciding on the bid functions they submit and the amount of tr... [more] © 2015 IEEE. As the electricity market transits into deregulation, customers and generators are given the liberty of deciding on the bid functions they submit and the amount of transmission rights they purchase in the market. These determine the payoffs they achieve from the market. In this paper, we evaluate how generators maximize their payoffs achieved from the market by making strategic decisions about the bid functions they submit and the transmission rights they purchase in the network. Strategical interdependency between decisions for when there are 2 or more generators in the market is also considered and modelled using matrix game. A Nash equilibrium reflecting the strategies the generators should pick is then identified using the max-min theorem. The application of the max-min theorem on the matrix game is modelled as a mixed integer linear programming problem. The proposed matrix game is applied and analyzed on 2 bus and 3 bus systems.
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2016 |
Gunnaasankaraan H, Viswanath A, Mahata K, 'Application of bi-level programming for profit maximization by transmission investors', Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015 (2016) [E1] © 2015 IEEE. This paper presents the application of bi-level programming to determine the profit maximization for transmission investor in deregulated power markets. We consider a... [more] © 2015 IEEE. This paper presents the application of bi-level programming to determine the profit maximization for transmission investor in deregulated power markets. We consider a deregulated market comprising merchant transmission investors responsible for transmission expansion and a central market operator responsible for market clearing. The problem is solved using two levels of optimization: Upper level problem, where the objective of the transmission merchant investor is to maximize profits and a Lower level problem, where the objective of the market operator is to maximize the social welfare of the generators and the customers. Transmission investment decisions made in the upper level adjust the transmission constraints in the lower level. The optimal solutions obtained in the lower level are used by transmission investors to calculate the transmission congestion price and profit. The bi-level model is applied on test systems and the results are consistent with the analytical method available in literature.
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2016 |
Dilwali K, Gunnaasankaraan H, Viswanath A, Mahata K, 'Transmission Expansion Planning Using Benders Decomposition and Local Branching', 2016 IEEE POWER AND ENERGY CONFERENCE AT ILLINOIS (PECI), Urbana, IL (2016) [E1]
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2015 |
Asheralieva A, Mahata K, Khan JY, 'Delay aware resource allocation scheme for a cognitive LTE based radio network', Proceedings - 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2014 (2015) [E1] © 2014 IEEE. We explore the problem of resource allocation in a Third Generation Partnership Project (3GPP) long-term evolution (LTE) based cognitive radio network (CRN). The netw... [more] © 2014 IEEE. We explore the problem of resource allocation in a Third Generation Partnership Project (3GPP) long-term evolution (LTE) based cognitive radio network (CRN). The network model consists of a number of service providers (SPs) with fixed licensed spectrum bands. The network offers the wireless services to two types of users: primary and secondary. The primary users (PUs) get prioritized access to the licensed spectrum bands. The secondary users (SUs) are served on the best-effort (non-prioritized) basis. In this paper we consider the specific design features of LTE radio interface associated with the uplink spectrum access, scheduling process, and limited control channel capacity of the LTE system. We establish the relation between the number of users in the system, and the scheduling delay (which is the largest contributor to the packet end-to-end delay in LTE network). Using these results, we propose a simple algorithm to assign the spectrum for the SUs without violating the quality of service (QoS) requirements of the PU, and implement it in an LTE-based CRN. Consistent performance of the algorithm is verified using OPNET-based simulations.
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2015 |
Hyder MM, Khan RH, Mahata K, 'An enhanced random access mechanism for Smart Grid M2M communications in WiMAX networks', 2014 IEEE International Conference on Smart Grid Communications, SmartGridComm 2014 (2015) [E1] © 2014 IEEE. Random access is being considered as one of the key bottlenecks for supporting machine-to-machine (M2M) communications over an IEEE 802.16-based WiMAX network. Apart ... [more] © 2014 IEEE. Random access is being considered as one of the key bottlenecks for supporting machine-to-machine (M2M) communications over an IEEE 802.16-based WiMAX network. Apart from handling massive access attempts from a large number of devices, the random access plane requires service differentiation capability to meet the diverse QoS requirements of various M2M applications. To address these issues, in this paper, we propose an enhanced random access scheme, where the fixed/low-mobility M2M devices pre-equalize their random access codes using the estimated frequency response of the slowly-varying wireless channel. Consequently, the base station is able to detect a large number of codes as their mutual orthogonality remains preserved. Moreover, a differentiated random access strategy is proposed to provide QoS-aware access service to various M2M devices. The performance of the proposed scheme is demonstrated under two different code matrices using both theoretical analysis and simulation results.
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2015 |
Khan RH, Mahata K, 'Random access performance of a WiMAX network for M2M communications in the Smart Grid', 2014 IEEE International Conference on Smart Grid Communications, SmartGridComm 2014 (2015) [E1] © 2014 IEEE. Random access is being considered as one of the key bottlenecks for supporting machine-to-machine (M2M) communications over an IEEE 802.16-based WiMAX network. This p... [more] © 2014 IEEE. Random access is being considered as one of the key bottlenecks for supporting machine-to-machine (M2M) communications over an IEEE 802.16-based WiMAX network. This paper presents a comprehensive analytical model to evaluate the performance of the WiMAX CDMA-based random access (CRA) procedure under the bursty M2M communications traffic in the Smart Grid. Compared to the literature, the proposed model incorporates the unique features of the CRA procedure such as multi-user multi-code transmission and parallel code detection in the performance analysis matrix. The accuracy of the model is validated by an extensive set of simulation results based on an OPNET simulation model. The results provide some interesting insights into the performance of the WiMAX random access plane for a range of controllable parameters, such as the number of available codes, the number of detectable codes, and the backoff parameters.
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2015 |
Mahata K, Schoukens J, De Cock A, 'Design of Gaussian inputs for Wiener model identification', IFAC-PapersOnLine, Beijing, China (2015) [E1]
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2014 |
Aditi TF, Mahata K, 'Adaptive resource allocation for a packet based network with heterogeneous traffic', 2014 9th International Symposium on Communication Systems, Networks and Digital Sign, CSNDSP 2014, Manchester, UK (2014) [E1]
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2014 |
Khan RH, Mahata K, Brown J, 'An adaptive RRM scheme for smart grid M2M applications over a WiMAX network', 2014 9th International Symposium on Communication Systems, Networks and Digital Sign, CSNDSP 2014, Manchester, UK (2014) [E1]
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2014 |
Cea MG, Goodwin GC, Carvajal R, Middleton RH, Mahata K, Karlsson RS, 'Channel estimation and interpolation for fourth generation mobile broadband telecommunications', IFAC Proceedings Volumes (IFAC-PapersOnline) (2014) [E1] © IFAC. This paper studies the problem of channel estimation for the downlink in broadband LTE communications. A Kalman Filter is used to combine channel soundings made with pilot... [more] © IFAC. This paper studies the problem of channel estimation for the downlink in broadband LTE communications. A Kalman Filter is used to combine channel soundings made with pilot tones that are deployed at different times and in different frequency bands on a pre-selected pattern. This Kalman filter is presented in a form directly suitable for implementation as a periodically time varying filter, in the case where periodic pilot tone data is available. Simulation results illustrate the efficacy of this approach.
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2013 |
Hyder MM, Mahata K, 'On Measurement Unit Placement for Smart Electrical Grid Fault Localization', 2013 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), Vancouver, CANADA (2013) [E2]
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2013 |
Hyder MM, Khan RH, Mahata K, Khan JY, 'A Predictive Protection Scheme based on Adaptive Synchrophasor Communications', 2013 IEEE International Conference On Smart Grid Communications (SMARTGRIDCOMM), Vancouver, CANADA (2013) [E1]
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2013 |
Hyder MM, Mahata K, 'Sparse sequence recovery via a maximum a posteriori estimation', 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings, Melbourne, VIC (2013) [E1]
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2013 |
Asheralieva A, Mahata K, Khan JY, 'Delay and loss due to uplink packet scheduling in LTE network', Wireless Access Flexibility: First International Workshop, WiFlex 2013, Kaliningrad, Russia, September 4-6, 2013. Proceedings, Kaliningrad, Russia (2013) [E1]
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2013 | Asheralieva A, Mahata K, 'Resource Allocation Algorithm for Cognitive Radio Network with Heterogeneous User Traffic', 2013 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), Atlanta, GA (2013) [E1] | ||||||||||
2012 |
Edalatifard R, Mahata K, 'Sample attrition and retention in Australian universities: A review of recent literature', ICEED 2012 - 2012 4th International Congress on Engineering Education - Improving Engineering Education: Towards Sustainable Development (2012) Australia currently faces high attrition rates which significantly concern universities and government agencies due to the serious needs for skilled and proficient workforce. Attr... [more] Australia currently faces high attrition rates which significantly concern universities and government agencies due to the serious needs for skilled and proficient workforce. Attrition rate is significant factor as it is a performance indicator for fund allocating. To gain a better understanding of the attrition and retention situation in Australia, this paper provides a review of recent empirical studies. Attrition factors and gender bias in Australia are discussed. In addition, it is explained how to support students who are at risk of attrition. © 2012 IEEE.
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2012 | Edalatifard H, Mahata K, 'Sample Attrition and Retention in Australian Universities: A Review of Recent Literature "Nothing teaches us better than literature to see ..." Mario Vargas Llosa', 2012 4TH INTERNATIONAL CONGRESS ON ENGINEERING EDUCATION (ICEED 2012): IMPROVING ENGINEERING EDUCATION: TOWARDS SUSTAINABLE DEVELOPMENT, Penang, MALAYSIA (2012) | ||||||||||
2012 |
Edalatifard H, Prieto-Rodriguez E, Mahata K, 'The impact of curriculum on engineering students' attrition', The Proceedings of the 23rd Annual Conference for the Australasian Association for Engineering Education (AAEE), Melbourne, Vic (2012) [E3]
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2012 |
Asheralieva A, Khan JY, Mahata K, 'Dynamic resource allocation in a LTE/WLAN heterogeneous network', International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, St. Petersburg, Russia (2012) [E1]
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2011 |
Asheralieva A, Khan JY, Mahata K, 'Performance analysis of VoIP services on the LTE network', 2011 Australasian Telecommunication Networks and Applications Conference (ATNAC), Melbourne, Vic (2011) [E1]
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2011 |
Hyder MM, Mahata K, 'Range-Doppler imaging via sparse representation', 2011 IEEE Radar Conference (RADAR), Kansas City, MO (2011) [E1]
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2011 |
Hyder MM, Mahata K, 'Maximum a posteriori estimation approach to sparse recovery', Proceedings of 2011 17th International Conference on Digital Signal Processing, Corfu, GR (2011) [E1]
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2011 |
Hyder MM, Mahata K, 'A joint sparse signal representation perspective for target detection using bistatic MIMO radar system', Proceedings of the 201117th International Conference on Digital Signal Processing, Corfu, GR (2011) [E1]
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2011 |
Hyder MM, Mahata K, 'Focuss is a convex-concave procedure', 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings, Prague, Czech Republic (2011) [E1]
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2011 |
Ong EH, Mahata K, Khan JY, 'Energy efficient architecture for green handsets in next generation IP-based wireless networks', 2011 IEEE International Conference on Communications (ICC): ICC 2011, Kyoto, Japan (2011) [E1]
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2011 |
Asheralieva A, Khan JY, Mahata K, 'Traffic prediction based packet transmission priority technique in an infrastructure wireless network', 2011 IEEE Wireless Communications and Networking Conference, Cancun, Quintana Roo, Mexico (2011) [E1]
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2011 |
Mahata K, 'On the variance error in system identification', Proceedings of the 18th IFAC World Congress, 2011, Milano, Italy (2011) [E1]
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2010 |
Hyder MM, Mahata K, 'An L0 norm based method for frequency estimation from irregularly sampled data', 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings, Dallas, TX (2010) [E1]
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2010 |
Ong EH, Khan JY, Mahata K, 'On dynamic load distribution algorithms for multi-AP WLAN under diverse conditions', IEEE Wireless Communications and Networking Conference 2010, WCNC 2010, Sydney, NSW (2010) [E1]
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2010 |
Ong EH, Khan JY, Mahata K, 'A simple model for non-homogeneous and non-saturated IEEE 802.11 DCF infrastructure BSS', 12th IEEE International Conference on Communications Systems (ICCS 2010), Singapore (2010) [E1]
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2010 |
Asheralieva A, Khan JY, Mahata K, Ong EH, 'A predictive network resource allocation technique for cognitive wireless networks', 4th International Conference on Signal Processing and Communication Systems, ICSPCS'2010. Proceedings, Gold Coast, QLD (2010) [E1]
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2009 |
Hyder MM, Mahata K, 'An approximate L0 norm minimization algorithm for compressed sensing', 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings, Taipei, Taiwan (2009) [E1]
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2009 |
Marelli DE, Mahata K, Fu M, 'Optimal design of hybrid filterbank analog-to-digital converters using input statistics', 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings, Taipei, Taiwan (2009) [E1]
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2009 |
Mahata K, Marelli DE, 'Minimum variance interpolation and spectral analysis', DSP 2009: 16th International Conference on Digital Signal Processing: Proceedings, Santorini-Hellas, Greece (2009) [E1]
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2009 |
Ong EH, Khan JY, Mahata K, 'Comparative performance analysis of dynamic load distribution algorithms in a multi-AP wireless network', Proceedings of INDICON 2009: An IEEE India Council Conference, Ahmedabad, India (2009) [E1]
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2009 |
Hyder MM, Mahata K, 'A scalable distributed video coder using compressed sensing', Proceedings of INDICON 2009: An IEEE India Council Conference, Ahmedabad, India (2009) [E1]
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2009 |
Hyder MM, Mahata K, 'A fast decoder for compressed sensing based multiple description image coding', 2009 IEEE International Conference on Image Processing: ICIP 2009 Proceedings, Cairo, Egypt (2009) [E1]
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2008 |
Marelli DE, Mahata K, Fu M, 'Linear LMS compensation for timing mismatch in time-interleaved ADCs', Proceedings - 34th Annual Conference of the IEEE Industrial Electronics Society (IECON 2008), Orlando, FL (2008) [E1]
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2007 | Soderstrom T, Larsson E, Mahata K, Mossberg M, 'Using Continuous-Time Modeling for Errors-in-Variables Identification', Preprints of the 14th IFAC Symposium on System Identification, Newcastle, Australia (2007) [E1] | ||||||||||
2007 |
Mahata K, Fu M, 'On the Reconstruction of Continuous-Time Models from Estimated Discrete-Time Models of Stochastic Processes', Preprints of the 14th IFAC Symposium on System Identification, Newcastle, Australia (2007) [E1]
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2007 |
Godoy BI, Braslavsky JH, Mahata K, 'Low Complexity Modelling and Parameter Estimation in Copper Bioleaching Processes', Preprints of the 14th IFAC Symposium on System Identification, Newcastle, NSW, Australia (2007) [E1]
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2007 | Mahata K, Gamier H, 'Identification of continuous-time Box-Jenkins models with arbitrary time-delay', PROCEEDINGS OF THE 46TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14, New Orleans, LA (2007) | ||||||||||
2007 |
Mahata K, Mahata P, 'Maximizing correlation for supervised classification', Proceedings of the 2007 15th International Conference on Digital Signal Processing, Cardiff, UK (2007) [E1]
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2007 |
Mahata K, Mahata P, 'Periodicity detection in small-sample gene-expression data', Proceedings of the 2007 15th International Conference on Digital Signal Processing, Cardiff, UK (2007) [E1]
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2007 | Thil S, Garnier H, Gilson M, Mahata K, 'Continuous-time model identification from noisy input/output measurements using fourth-order cumulants', PROCEEDINGS OF THE 46TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14, New Orleans, LA (2007) | ||||||||||
2006 |
Mahata K, Fu M, 'A robust interpolation algorithm for spectral estimation', 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol III, Proceedings, Toulouse, FRANCE (2006)
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2006 |
Mahata K, Fu M, 'Modeling Continous-Time Stochastic Processes Using Input-To-State Filters', 16th World Congress of the International Federation of Automatic Control, Prague, Czech Republic (2006) [E1]
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2006 |
Mahata K, Garnier H, 'Direct Identification of Continuous-Time Errors-in-Variables Models', Proceedings of the 16th IFAC World Congress, Prague, Czech Republic (2006) [E1]
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2006 | Mahata K, 'Prefilter design for errors in variables model identification', Proceedings of the 45th IEEE Conference on Decision and Control, San Diego, CA, USA (2006) [E1] | ||||||||||
2006 |
Mahata K, Fu M, 'A Robust Interpolation Algorithm for Spectral Estimation', ICASSP 2006 Proceedings, 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, Toulouse, France (2006) [E1]
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2005 |
Mahata K, Fu M, 'On Constrained Covariance Extension Problems', Proceedings of 44th IEEE Conference on Decision and Control, Seville, Spain (2005) [E1]
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2005 |
Fu M, Mahata K, 'Generalizations of the Nevanlinna-Pick Interpolation Problem', Proceedings of 44th IEEE Conference on Decision and Control, Seville, Spain (2005) [E1]
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2005 |
Mahata K, Fu M, 'Modeling continuous-time stochastic processes using input-to-state filters', IFAC Proceedings Volumes (IFAC-PapersOnline) (2005) A novel direct approach for modeling continuous-time stochastic processes is proposed in this paper. First the observed data is passed through an input-to-state filter and the cov... [more] A novel direct approach for modeling continuous-time stochastic processes is proposed in this paper. First the observed data is passed through an input-to-state filter and the covariance of the output state is computed. The properties of the state covariance matrix is then exploited to estimate the positive real spectrum of the observed data at a set of prescribed points on the right half plane. Finally, the continuous-time parameters are obtained from the positive real spectrum estimates by solving a Nevanlinna-Pick interpolation problem. The estimated model is stable. The analytical results are illustrated using numerical simulations. Copyright © 2005 IFAC.
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2003 |
Mahata K, Söderström T, Hillström L, 'Computationally Efficient Estimation of Wave Propagation Functions of Viscoelastic Materials', IFAC Proceedings Volumes (IFAC-PapersOnline) (2003) [E1] © 2003 International Federation of Automatic Control. Least squares based nonparametric estimation of the wave propagation functions of a viscoelastic material is considered in th... [more] © 2003 International Federation of Automatic Control. Least squares based nonparametric estimation of the wave propagation functions of a viscoelastic material is considered in this paper. Widely used nonlinear least squares based algorithms are often computationally expensive and suffer from numerical problems. In this paper we propose a class of subspace estimators which assume equidistant sensor configuration. The proposed estimator is computationally economical and numerically robust. Analytical expressions for the estimation accuracy have been derived. It is also shown that the subspace estimator achieves optimal accuracy under optilnal weighting. The algorithm is employed on real experimental data.
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2003 |
Bhikkaji B, Söderström T, Mahata K, 'A Recursive Algorithm for Estimating Parameters in a One Dimensional Diffusion System', IFAC Proceedings Volumes (IFAC-PapersOnline) (2003) [E1] © 2003 International Federation of Automatic Control. A one-dimensional heat diffusion system with an associated partial differential equation (PDE) model is considered. The PDE m... [more] © 2003 International Federation of Automatic Control. A one-dimensional heat diffusion system with an associated partial differential equation (PDE) model is considered. The PDE model involves unknown parameters, which need to be estimated to model the physical diffusion system. A recursive algorithum in the frequency domain is deviced for an efficient estimation of the parameters involved.
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2002 |
Söderström T, Mahata K, Soverini U, 'Identification of dynamic errors-in-variables model using a frequency domain frisch scheme', IFAC Proceedings Volumes (IFAC-PapersOnline) (2002) [E1] Copyright © 2002 IFAC. In this paper we propose a parametric and a non-parametric identification algorithm for dynamic errors-in-variables model. We show that the two-dimensional ... [more] Copyright © 2002 IFAC. In this paper we propose a parametric and a non-parametric identification algorithm for dynamic errors-in-variables model. We show that the two-dimensional process composed of the input-output data admits a finite order ARMA representation. The non-parametric method uses the ARMA structure to compute a consistent estimate of the joint spectrum of the input and the output. A Frisch scheme is then employed to extract an estimate of the joint spectrum of noise free input-output data from the ARMA spectrum, which is used to estimate the transfer function. The parametric method exploits the ARMA structure to give consistent estimates of the system parameters. The performances of the algorithms are illustrated using the results obtained from a numerical simulation study.
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2002 |
Mahata K, Söderström T, 'Identification of dynamic errors-in-variables model using prefiltered data', IFAC Proceedings Volumes (IFAC-PapersOnline) (2002) Copyright © 2002 IFAC. Computationally efficient identification of dynamic errors-in-variables model is considered in this paper. The instrumental variable (IV) method is computat... [more] Copyright © 2002 IFAC. Computationally efficient identification of dynamic errors-in-variables model is considered in this paper. The instrumental variable (IV) method is computationally efficient but it suffers from poor small-sample properties of the estimated parameters. The method presented in this work uses the prefiltered data. The input-output data is passed through a pair of user defined prefilters and the output data from the prefilters is subjected to a least-squares like algorithm. Compared to the IV approach, the proposed method shows a significant improvement in the small-sample properties of the MA parameter estimates, without any increase in the computational load.
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2000 |
Mahata K, Ramakrishnan AG, 'A novel scheme for image rotation for document processing', IEEE International Conference on Image Processing (2000) Rotation of the binary image of a document page for correcting the skew in the case of OCR or signature verification systems entails disfigurement of the shape of the characters, ... [more] Rotation of the binary image of a document page for correcting the skew in the case of OCR or signature verification systems entails disfigurement of the shape of the characters, which brings down the performance of the pattern classifier. An elegant algorithm is presented in this paper for distortion-free rotation. Multirate signal processing principles are applied to solve this problem, which was hitherto handled using only heuristics. The resolution of the image is increased during rotation. The rotated image is decimated and thresholded after low pass filtering. Polyphase implementation of the filter is performed for efficient computation. The results show that it solves the problem of mutilations and occasional breaks obtained in simple rotation schemes and further, performs better than the scheme involving interpolation in the original or the rotated domains. Consequent on the better retention of their original shape, the recognition accuracy of originally skewed documents improves by more than 5%.
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Show 59 more conferences |
Grants and Funding
Summary
Number of grants | 24 |
---|---|
Total funding | $3,790,161 |
Click on a grant title below to expand the full details for that specific grant.
20212 grants / $530,000
Novel Techniques for Uncoordinated Massive Access in the Internet of Things$400,000
Funding body: ARC (Australian Research Council)
Funding body | ARC (Australian Research Council) |
---|---|
Project Team | Professor Sarah Johnson, Associate Professor Kaushik Mahata, Associate Professor Stephan Chalup |
Scheme | Discovery Projects |
Role | Investigator |
Funding Start | 2021 |
Funding Finish | 2023 |
GNo | G2000037 |
Type Of Funding | C1200 - Aust Competitive - ARC |
Category | 1200 |
UON | Y |
Spatial Analytics with LiDAR and Imagery$130,000
Funding body: Anditi Pty Ltd
Funding body | Anditi Pty Ltd |
---|---|
Project Team | Associate Professor Kaushik Mahata |
Scheme | Research Grant |
Role | Lead |
Funding Start | 2021 |
Funding Finish | 2021 |
GNo | G2001466 |
Type Of Funding | C3111 - Aust For profit |
Category | 3111 |
UON | Y |
20201 grants / $107,059
Spatial analytics in dynamic environments$107,059
Funding body: Anditi Pty Ltd
Funding body | Anditi Pty Ltd |
---|---|
Project Team | Associate Professor Kaushik Mahata, Miss Irene Wanady |
Scheme | Business Industry Scholarship |
Role | Lead |
Funding Start | 2020 |
Funding Finish | 2022 |
GNo | G1901117 |
Type Of Funding | C3111 - Aust For profit |
Category | 3111 |
UON | Y |
20192 grants / $100,407
Automatic processing and feature detection in remote sensing image data$50,407
Funding body: Anditi Pty Ltd
Funding body | Anditi Pty Ltd |
---|---|
Project Team | Associate Professor Kaushik Mahata, Doctor Md Mashud Hyder |
Scheme | Entrepreneurs' Programme: Innovation Connections |
Role | Lead |
Funding Start | 2019 |
Funding Finish | 2019 |
GNo | G1900084 |
Type Of Funding | C3111 - Aust For profit |
Category | 3111 |
UON | Y |
Automatic processing and feature detection in remote sensing image data$50,000
Funding body: Department of Industry, Innovation and Science
Funding body | Department of Industry, Innovation and Science |
---|---|
Project Team | Associate Professor Kaushik Mahata, Doctor Md Mashud Hyder |
Scheme | Entrepreneurs' Programme: Innovation Connections |
Role | Lead |
Funding Start | 2019 |
Funding Finish | 2019 |
GNo | G1900187 |
Type Of Funding | C2110 - Aust Commonwealth - Own Purpose |
Category | 2110 |
UON | Y |
20172 grants / $110,924
Algorithm development for processing of remote sensing imagery data$60,924
Funding body: UMWELT (AUSTRALIA) PTY LTD
Funding body | UMWELT (AUSTRALIA) PTY LTD |
---|---|
Project Team | Associate Professor Kaushik Mahata, Stephen Craig |
Scheme | Entrepreneurs' Programme: Innovation Connections |
Role | Lead |
Funding Start | 2017 |
Funding Finish | 2017 |
GNo | G1701410 |
Type Of Funding | C3111 - Aust For profit |
Category | 3111 |
UON | Y |
Algorithm development for processing of remote sensing imagery data$50,000
Funding body: Department of Industry, Innovation and Science
Funding body | Department of Industry, Innovation and Science |
---|---|
Project Team | Associate Professor Kaushik Mahata |
Scheme | Entrepreneurs' Programme: Innovation Connections |
Role | Lead |
Funding Start | 2017 |
Funding Finish | 2017 |
GNo | G1701411 |
Type Of Funding | C2110 - Aust Commonwealth - Own Purpose |
Category | 2110 |
UON | Y |
20162 grants / $103,799
Entrepreneurs Programme - Innovation Connections Grant$53,799
Funding body: UMWELT (AUSTRALIA) PTY LTD
Funding body | UMWELT (AUSTRALIA) PTY LTD |
---|---|
Project Team | Associate Professor Kaushik Mahata, Doctor Md Mashud Hyder, Stephen Craig, Peter Jamieson |
Scheme | Entrepreneurs' Programme: Innovation Connections |
Role | Lead |
Funding Start | 2016 |
Funding Finish | 2016 |
GNo | G1601027 |
Type Of Funding | C3111 - Aust For profit |
Category | 3111 |
UON | Y |
Entrepreneurs Programme - Innovation Connections Grant$50,000
Funding body: Department of Industry, Innovation and Science
Funding body | Department of Industry, Innovation and Science |
---|---|
Project Team | Associate Professor Kaushik Mahata, Doctor Md Mashud Hyder, Peter Jamieson, Stephen Craig |
Scheme | Entrepreneurs' Programme: Innovation Connections |
Role | Lead |
Funding Start | 2016 |
Funding Finish | 2016 |
GNo | G1601026 |
Type Of Funding | C2110 - Aust Commonwealth - Own Purpose |
Category | 2110 |
UON | Y |
20152 grants / $530,114
Integrated Feedback Control in Future Wireless Communication Networks$365,114
Funding body: ARC (Australian Research Council)
Funding body | ARC (Australian Research Council) |
---|---|
Project Team | Professor Rick Middleton, Dr Robert Karlsson, Associate Professor Duy Ngo, Dr Torbjorn Wigren, Associate Professor Kaushik Mahata, Ms Ying Sun, Dr Linda Brus |
Scheme | Linkage Projects |
Role | Investigator |
Funding Start | 2015 |
Funding Finish | 2018 |
GNo | G1401341 |
Type Of Funding | Aust Competitive - Commonwealth |
Category | 1CS |
UON | Y |
Integrated Feedback Control in Future Wireless Communication Networks$165,000
Funding body: Ericsson AB
Funding body | Ericsson AB |
---|---|
Project Team | Professor Rick Middleton, Dr Robert Karlsson, Associate Professor Duy Ngo, Dr Torbjorn Wigren, Associate Professor Kaushik Mahata, Ms Ying Sun, Dr Linda Brus |
Scheme | Linkage Projects Partner Funding |
Role | Investigator |
Funding Start | 2015 |
Funding Finish | 2017 |
GNo | G1500674 |
Type Of Funding | C3211 - International For profit |
Category | 3211 |
UON | Y |
20131 grants / $361,748
A novel framework for designing input excitation for system identification$361,748
Funding body: ARC (Australian Research Council)
Funding body | ARC (Australian Research Council) |
---|---|
Project Team | Associate Professor Kaushik Mahata, Professor Brett Ninness |
Scheme | Discovery Projects |
Role | Lead |
Funding Start | 2013 |
Funding Finish | 2015 |
GNo | G1200242 |
Type Of Funding | Aust Competitive - Commonwealth |
Category | 1CS |
UON | Y |
20122 grants / $513,000
Scheduling and Quality of Service in LTE Telecommunications$360,000
Funding body: ARC (Australian Research Council)
Funding body | ARC (Australian Research Council) |
---|---|
Project Team | Emeritus Laureate Professor Graham Goodwin, Professor Rick Middleton, Doctor Juan Carlos Aguero, Associate Professor Kaushik Mahata, Dr Robert Karlsson, Mr Jawad Manssour, Dr Torbjorn Wigren |
Scheme | Linkage Projects |
Role | Investigator |
Funding Start | 2012 |
Funding Finish | 2015 |
GNo | G1101043 |
Type Of Funding | Aust Competitive - Commonwealth |
Category | 1CS |
UON | Y |
Scheduling and Quality of Service in LTE Telecommunications$153,000
Funding body: Ericsson AB
Funding body | Ericsson AB |
---|---|
Project Team | Emeritus Laureate Professor Graham Goodwin, Professor Rick Middleton, Doctor Juan Carlos Aguero, Associate Professor Kaushik Mahata, Dr Robert Karlsson, Mr Jawad Manssour, Dr Torbjorn Wigren |
Scheme | Linkage Projects Partner Funding |
Role | Investigator |
Funding Start | 2012 |
Funding Finish | 2014 |
GNo | G1200170 |
Type Of Funding | Aust Competitive - Commonwealth |
Category | 1CS |
UON | Y |
20113 grants / $1,127,338
Communication Networks for Smart Electricity Grids$695,332
Funding body: ARC (Australian Research Council)
Funding body | ARC (Australian Research Council) |
---|---|
Project Team | Associate Professor Jamil Khan, Professor Minyue Fu, Associate Professor Kaushik Mahata, Mr Keith Lynch, Mr Phillip King, Mr Andrew O'Brien |
Scheme | Linkage Projects |
Role | Investigator |
Funding Start | 2011 |
Funding Finish | 2013 |
GNo | G1000569 |
Type Of Funding | Aust Competitive - Commonwealth |
Category | 1CS |
UON | Y |
Communication Networks for Smart Electricity Grids$407,006
Funding body: Ausgrid
Funding body | Ausgrid |
---|---|
Project Team | Associate Professor Jamil Khan, Professor Minyue Fu, Associate Professor Kaushik Mahata, Mr Keith Lynch, Mr Phillip King, Mr Andrew O'Brien |
Scheme | Linkage Projects Partner Funding |
Role | Investigator |
Funding Start | 2011 |
Funding Finish | 2014 |
GNo | G1000759 |
Type Of Funding | Aust Competitive - Commonwealth |
Category | 1CS |
UON | Y |
Distributed Signal Processing for Sensor Networks$25,000
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Professor Minyue Fu, Associate Professor Kaushik Mahata, Doctor Damian Marelli |
Scheme | Near Miss Grant |
Role | Investigator |
Funding Start | 2011 |
Funding Finish | 2011 |
GNo | G1001037 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
20091 grants / $2,000
2008 FE&BE Research Excellence Award $2,000
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Associate Professor Kaushik Mahata |
Scheme | Award for Research Excellence |
Role | Lead |
Funding Start | 2009 |
Funding Finish | 2009 |
GNo | G0189938 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
20081 grants / $180,000
Spectral analysis with selective harmonic emphasis$180,000
Funding body: ARC (Australian Research Council)
Funding body | ARC (Australian Research Council) |
---|---|
Project Team | Associate Professor Kaushik Mahata |
Scheme | Discovery Projects |
Role | Lead |
Funding Start | 2008 |
Funding Finish | 2010 |
GNo | G0187432 |
Type Of Funding | Aust Competitive - Commonwealth |
Category | 1CS |
UON | Y |
20073 grants / $22,500
Hi-resolution stero-imaging for endoscopes$13,838
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Associate Professor Kaushik Mahata |
Scheme | Pilot Grant |
Role | Lead |
Funding Start | 2007 |
Funding Finish | 2007 |
GNo | G0187861 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
Hi-resolution stero-imaging for endoscopes$6,162
Funding body: University of Newcastle - Faculty of Engineering & Built Environment
Funding body | University of Newcastle - Faculty of Engineering & Built Environment |
---|---|
Project Team | Associate Professor Kaushik Mahata |
Scheme | Pilot Grant |
Role | Lead |
Funding Start | 2007 |
Funding Finish | 2007 |
GNo | G0188313 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
15th International Conference on Digital Signal Processing 2007, Cardiff, Wales, 1/7/2007 - 4/7/2007$2,500
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Associate Professor Kaushik Mahata |
Scheme | Travel Grant |
Role | Lead |
Funding Start | 2007 |
Funding Finish | 2007 |
GNo | G0187809 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
20061 grants / $1,500
IEEE International Conference on Acoustics, Speech and Signal Processing, 15-19 May 2006$1,500
Funding body: University of Newcastle
Funding body | University of Newcastle |
---|---|
Project Team | Associate Professor Kaushik Mahata |
Scheme | Travel Grant |
Role | Lead |
Funding Start | 2006 |
Funding Finish | 2006 |
GNo | G0186221 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
20051 grants / $99,772
A Bayesian framework for frequency domain identification$99,772
Funding body: ARC (Australian Research Council)
Funding body | ARC (Australian Research Council) |
---|---|
Project Team | Associate Professor Kaushik Mahata |
Scheme | Discovery Projects |
Role | Lead |
Funding Start | 2005 |
Funding Finish | 2007 |
GNo | G0184401 |
Type Of Funding | Aust Competitive - Commonwealth |
Category | 1CS |
UON | Y |
Research Supervision
Number of supervisions
Current Supervision
Commenced | Level of Study | Research Title | Program | Supervisor Type |
---|---|---|---|---|
2020 | Masters | Spatial Data Analytics in Dynamic Environments | M Philosophy (Computer Eng), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2019 | PhD | Joint mmWave MIMO Channel Modeling and Estimation Using Low-Rank Tensor Decomposition and Convex/Nonconvex Optimisation Techniques | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2017 | PhD | QoS-Aware Communications Protocols for 5G-Based Intelligent Transport Systems | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
Past Supervision
Year | Level of Study | Research Title | Program | Supervisor Type |
---|---|---|---|---|
2019 | PhD | Transmission Planning in Deregulated Power Markets | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2018 | PhD | Condition Monitoring of Induction Motors Based on Measurement and Analysis of Air Gap Flux Spatial Harmonics | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2017 | PhD | Model-Based Fault Detection and Isolation for a Novel X-by-Wire Road Vehicle Architecture | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2016 | Masters | Firmwares for High-Speed Signal Processing Applications | M Philosophy(Elec Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2015 | PhD | Multi-Service Packet Transmission Techniques to Support Future Road Traffic Application in VANETs | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2015 | PhD | Sampled-data Synchronization Control of Multi-Agent Systems | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2015 | Masters | A Novel Scheduling Framework for Heterogeneous Traffic in the Smart Grid | M Philosophy(Elec Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2014 | PhD | Implementing Sensory Perception and Affect on Humanoid Robots Using Applications of Manifold Learning | PhD (Computer Science), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2014 | PhD | Multiple Hypothesis Methods for Robot Self Localisation | PhD (Computer Engineering), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2014 | PhD | Future Wireless Network Architecture | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2014 | Masters | Target Tracking System Using Wireless Sensor Networks | M Philosophy (Computer Eng), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2014 | PhD | Machine-to-Machine Communications over an IEEE 802.16-based WiMAX Network in the Smart Grid | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
2013 | Masters | VANET Based Advanced Road Traffic Management Systems | M Philosophy (Computer Eng), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2012 | PhD | Estimation of Sparse Distributions | PhD (Electrical Engineering), College of Engineering, Science and Environment, The University of Newcastle | Principal Supervisor |
News
ARC Linkage Project funding success
August 17, 2015
Associate Professor Kaushik Mahata
Position
Associate Professor
School of Electrical Engineering and Computing
College of Engineering, Science and Environment
Focus area
Electrical and Computer Engineering
Contact Details
kaushik.mahata@newcastle.edu.au | |
Phone | (02) 4921 6422 |
Fax | (02) 4921 6993 |
Office
Room | EAG12 |
---|---|
Building | Engineering A Building |
Location | Callaghan University Drive Callaghan, NSW 2308 Australia |