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. The module uses the specialist computation/simulation tool Matlab.

### Aims and Objectives

#### Module Aims

To introduce signal processing techniques

#### Learning Outcomes

##### 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
##### Subject Specific Practical Skills

Having successfully completed this module you will be able to:

• Design analogue and digital filters according to set specifications

### 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
Tutorial12
Follow-up work18
Revision10
Preparation for scheduled sessions18
Lecture36
Total study time150

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

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

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

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

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

### Assessment

#### Summative

MethodPercentage contribution
Coursework 10%
Examination  (2 hours) 90%

#### Repeat

MethodPercentage contribution
Examination 100%

#### Referral

MethodPercentage contribution
Examination  (2 hours) 100%

#### Repeat Information

Repeat type: Internal & External

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