DGS2220

Digital systems II

H Wu

4 points
* Second semester
* Clayton
* Prerequisites: MAT2441, DGS2120
* Corequisites: MAT2452

Objectives At the completion of the subject, students should have a broad knowledge of systems concepts and transform theories in the signals and systems application area, and be able to analyse, model and represent continuous and discrete-time deterministic signals; analyse, model and represent continuous and discrete-time linear time-invariant (LTI) systems using various standard techniques; and understand the basic approach to analysis and representation of nonlinear and time-variant continuous or discrete-time systems as well as nondeterministic signals.

Synopsis In this subject students are introduced to the fundamental concepts, theory, techniques, and CAD tools used in modelling, representation, analysis of continuous-time and discrete-time signals and systems. It provides a theoretical foundation for advanced subjects in special applications areas, such as robotics, communications, digital signal processing and discrete-time control. The syllabus includes representation and modelling of signals, and mechanical, and electrical systems; linear time-invariant systems - analysis, stability; state-space models; time-domain analysis of continous and discrete-time systems; frequency-domain analysis of continuous and discrete-time systems; reconstruction of signals from samples; discrete-time processing of continous-time signals; discrete-time filters; and application of CAD tools in system analysis and modelling.

Assessment Laboratory practical work: 30%
* Assignments: 10%
* Written examination (3 hours): 60%

Prescribed texts

Kamen E W Introduction to signals and systems 2nd edn, Macmillan, 1990
The Mathworks: the standard edition of Matlab Prentice-Hall, 1992

Recommended texts

Chen C T Systems and signal analysis Saunders, 1994