ELEC6218 Signal Processing

Module Overview

This module aims to introduce to the students signal processing techniques, including analogue and digital filter design and systems design theories. The module also introduces the concepts of statistical signal processing including estimation and detection theories, with illustrative case studies to demonstrate how these techniques can be used in communications systems.

Aims & Objectives

Aims

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

Analyse the effect of sampling on electronics signals
Characterise random signals and processes
Apply statistical signal processing estimation techniques to communications systems

Subject Specific Practical

Having successfully completed this module, you will be able to:

Design analogue and digital filters according to set specifications
Design adaptive filters

Syllabus

Analog filter design --- specifications, physical approximations, performance specifications, design. Covering Butterworth, Chebyshev, Elliptic types and their relative performance.
Sampling and reconstruction theory --- review of the basics
z transform analysis
Digital filter design ---- specifications, physical approximations, performance specifications, design. Covering Butterworth, Chebyshev, Elliptic types and their relative performance.
Random processes: models and processing
Adaptive filter design and implementation
Estimation Theory: Maximum Likelihood Estimation, Least squares estimation, Baysian estimation

Learning & Teaching

Learning & teaching methods

Activity	Description	Hours
Lecture	Three lectures per week	36
Tutorial	One tutorial session per week	12

Assessment

Assessment methods

Method	Hours	Percentage contribution
Deterministic filter design coursework	-	10%
Statistical signal processing coursework	-	10%
Exam	2 hours	80%

Referral Method: By examination

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