The University of Southampton
Courses

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 and Objectives

Module Aims

To introduce signal processing techniques

Learning Outcomes

Subject Specific Practical Skills

Having successfully completed this module you will be able to:

  • Design analogue and digital filters according to set specifications
  • Design adaptive filters
Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

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

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 and Teaching

TypeHours
Completion of assessment task10
Follow-up work18
Revision10
Preparation for scheduled sessions18
Lecture36
Wider reading or practice46
Tutorial12
Total study time150

Resources & Reading list

P. Denbigh (1998). System Analysis and Signal Processing. 

A. V. Oppenheim , A. S. Willsky and S. H. Nawab (1996). Signals and Systems. 

S.M. Kay (1993). Fundamentals of Statistical Signal Processing: Estimation Theory. 

A. V. Oppenheim , R. W. Schafer and J. R. Back (1999). Discrete-time Digital Signal Processing. 

M. J. Roberts (2003). Signals and Systems. 

Assessment

Summative

MethodPercentage contribution
Coursework 10%
Coursework 10%
Exam  (2 hours) 80%

Referral

MethodPercentage contribution
Exam  (2 hours) 100%

Repeat Information

Repeat type: Internal & External

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