|Minyue Fu||QUT Node Programme Leader|
|Juan Carlos Aguero||UoN Prgramme Leader|
This programme focuses on model-based signal processing. Research problems include physical modelling, system identification, model validation, prediction, filtering, and signal recovery. Examples of this type of signal processing are adaptive control, Kalman filtering, communications channel equalization, and multi-user detection for wireless communications.
Much of the fundamental research for model-based signal processing is related to other programmes. However the aim of this programme is to promote applications of modelling, control and estimation in various signal processing problems.
- Functional Analysis Approach to Subband System Approximation and Identification
- Nonlinear Feedback Control of a Dual-Stage Actuator System for Reduced Settling Time
- Selecting Differentially Expressed Genes using Minimum Probability of Classification Error
- Periodicity Detection in Small-Sample Gene-Expression Data
- Maximising Correlation for Supervised Classification
- Robust Identification
- Closed Loop Identification
- Error in Variables
- System Identification using Quantised Data
- Frequency-Domain Constructed Redundant Basis for Denoising
- OFDMA Uplink PAR Reduction Via Tome Reservation
- Compression at the Source of Digital Video