Signal Processing

Course code ELEC6400
Not available in 2016

Description

This course provides students with an advanced knowledge of signal processing with an emphasis on filtering, spectral analysis and applications such as image processing and signal compression.

Availability

Not currently available.

Learning Outcomes

On successful completion of the course students will be able to:

1. Discuss the fundamental uses, distinction and trade-offs between analog and digital signal processing methods

2. Demonstrate expertise in analog and digital filter design methodologies

3. Design, implement and test digital filters

4. Apply different transform domain techniques for signal processing

5. Demonstrate skills in multi-rate signal processing design

6. Demonstrate skills in image processing

7. Understand the principles of digital signal compression

8. Gain experience in working on a practical group project

Content

  1. Review of sampling theory and discrete-time systems
  2. Review of discrete-time Fourier transforms and convolution
  3. Discrete-time and Discrete Fourier Transform Theory
  4. Z-transform
  5. Filter design techniques and digital implementation
  6. Multi-rate signal processing and introductory filterbanks
  7. Introduction to digital signal compression
  8. Introduction to image processing 

Assumed Knowledge

ELEC2430 Circuits and Signals

Assessment Items

Formal Examination: Final examination

Tutorial / Laboratory Exercises: Laboratory exercises x 3

Contact Hours