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, lab practices, and case studies.