Aims and Fit of Module

This module aims to: Develop basic framework for signal processing and demonstrate some applications. Provide students with a good understanding of the types and behaviours of different digital filters.

Learning outcomes

CODE A Understand basic signal processing framework and applications; have the mathematical knowledge to understand the behaviour of linear time invariant systems; explain the behaviour of digital filters in terms of mathematical concepts. B Understand the concepts of analogue and digital signals and systems, and their conversion by using sampling, quantization and reconstruction; appreciate the effects and procedure of quantization. Be able to determine the appropriate sampling and filtering methodology according to applications. C Understand linear time-invariant circuits and systems, both analogue and discrete time (including digital signal processing systems) and then apply these concepts to the analysis, design and implementation of various types of signals and systems. D Understand the Fourier transforms and z-transform, and the concepts of FIR and IIR filters. Be able to analyse and design discrete-time signal processing systems using these tools. E Design FIR digital filters using the window technique, and design IIR digital filters using pole/zero placement, the bilinear transform or other techniques.

Method of teaching and learning

This module will be delivered by a combination of formal lectures, problem classes, lab practices, and case studies.