Aims and Fit of Module

The aims of the module are:
To develop basic framework for signal processing and demonstrate some applications.
To provide students with a good understanding of the types and behaviours of different digital filters.

Learning outcomes

A. Understand the concepts of analogue and digital signals, and the conversion between them by using sampling, quantization and reconstruction; appreciate the effects and procedure of quantization.
B. Understand the Fourier transforms and z-transform, and apply them to discrete-time system analyses and design.
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 concepts of FIR and IIR filters, and be able to analyse and design them using z-transform.
E. Design FIR digital filters using the window (Fourier series) technique, and design IIR digital filters using pole/zero placement, the bilinear transform or other techniques.
F. Determine the most appropriate sampling and filtering methodology according to application.
G. Understand basic signal processing framework and applications; have the mathematical knowledge to understand the behaviour of linear time invariant digital systems; explain the behaviour of digital filters in terms of mathematical concepts.

Method of teaching and learning

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