ES3C5 Signal Processing

Module Leader: Dr R.C. Staunton

Co-lecturer: Dr T. Tjahjadi

Module Information

Scope

This 15 CATS module is one of the third year modules for:

Core:	Optional:
Electronic Engineering Systems Engineering	Computer and Information Engineering Engineering

Aims

The module aims to introduce signal processing to 3rd year students. It aims to develop the student’s ability to:- Select and apply appropriate mathematical methods for modelling and analysing signals; Understand the scientific principles underlying the generation of signals; Use practical skills in a laboratory session in which the relevant test and measurement equipment is available; Select and apply appropriate computer based methods for modelling signals and communication systems; Design simple signal processing systems.

Learning Outcomes

By the end of the module the student should be able to...

Use mathematics to analyse deterministic and random signals, and to analyse processing systems
Understand the classification and generation of signals. Understand the methods for extracting information
Understand the practical issues behind signal processing and information retrieval
Design signal processing systems
Use computer packages to model signals, filters and processes.
Use practical skills: Use test and measurement equipment in the laboratory to evaluate signals

Syllabus

Signals: Time domain and frequency domain representation of continuous and discrete signals; Laplace transform and transfer functions; Z-transform and transfer functions; Relation between time domain and frequency domain; Fourier Transform; Discrete Time Fourier Transform; Practical use of Fast Fourier Transform; Convolution.

Filter Design: Specification in terms of frequency response; time domain and frequency responses; filter design filter design - FIR and IIR; Linear phase filters; Non-recursive designs using windowing; Quantisation and rounding in both recursive and non-recursive designs

Random Signal Analysis: Revision of some fundamental concepts of probability:- probability density, expected values, correlation; Time domain analysis:- correlation functions for continuous and discrete signals, analogue and digital measurement of correlation; Frequency domain analysis:- spectral densities and their relation to correlation functions, analogue and digital measurement.