Registry

Module Specifications

Archived Version 2005 - 2006

Module Title	Digital Signal Processing
Module Code	EE401
School	School of Electronic Engineering
Online Module Resources
Module Co-ordinator	Dr Sean Marlow	Office Number	S337
Level	4	Credit Rating	0
Pre-requisite	EE314, EM203
Co-requisite	None

Module Aims

To provide the student with a thorough understanding of deterministic signals and the digital systems used to process them.

Learning Outcomes

On completion of this module, the student will be able to . analyse digital signals and describe their properties; (PO1, PO2) . analyse digital signal processing systems; (PO1,PO2) . design and evaluate the performance of digital filters; (PO1, PO2, PO3, PO5, PO6) . implement digital filters and apply them to process real-time signals. (PO1, PO2, PO3, PO5, PO6]

Indicative Time Allowances
	Hours
Lectures	24
Tutorials	0
Laboratories	18
Seminars	0
Independent Learning Time	33

Total	75
Placements
Assignments

NOTE

Assume that a 0 credit module load represents approximately 75 hours' work, which includes all teaching, in-course assignments, laboratory work or other specialised training and an estimated private learning time associated with the module.

Indicative Syllabus

Analysis and design of FIR filters: linear phase properties; Fourier design method; windowing; frequency sampling design. Analysis and design of IIR filters: matched-z, impulse invariant and bilinear transforms; conversion from low-pass prototype to high-pass, band-pass and band-stop filters. Finite word length effects: roundoff noise; overflow and scaling; limit cycle oscillations; coefficient quantisation. DSP system implementation: range of realisations from all-hardware to all-software; specialised architecture for signal processing; implementing algorithms on programmable Digital Signal Processors; total system implementation. Applications of DSP focussing on speech signals: modelling, coding, synthesis and recognition.

Assessment
Continuous Assessment	20%	Examination Weight	80%

Indicative Reading List

Ifeachor, E.C. and Jervis, B. W. , "Digital Signal Processing - A Practical Approach", Addison-Wesley, 1993 Proakis, J. G. and Manolakis, D. G., "Digital Signal Processing: Principles, Algorithms and Applications", Macmillan, 1992 Roberts, R. A. and Mullis, C. T., "Digital Signal Processing", Addison-Wesley, 1987 Bose, T. "Digital Signal and Image Processing", Wiley, 2004 Mitra, S. K., "Digital Signal Processing" McGraw Hill, 2001

Contribution to Programme Areas:

Science & Mathematics

Discipline - specific Technology

Information and Communications Technology

Design and Development

Engineering Practice

Social and Business Context

3

4

2

4

2

1

Contribution to Programme Outcomes:

Knowledge and Its Application:

The ability to derive and apply solutions from a knowledge of sciences, engineering sciences, technology and mathematics

Problem Solving:

The ability to identify, formulate, analyse and solve engineering problems;

Design:

The ability to design a system, component or process to meet specified needs, to design and conduct experiments and to analyse and interpret data;

Ethical Practice:

An understanding of the need for high ethical standards in the practice of engineering, including the responsibilities of the engineering profession towards people and the environment

Effective Work and Learning:

The ability to work effectively as an individual, in teams and in multidisciplinary settings together with the capacity to undertake lifelong learning;

Effective Communication:

The ability to communicate effectively with the engineering community and with society at large

3

4

4

1

2

2

Teaching & Learning Strategies/Assessment Methodology:

Assignment: design a digital filter and use it to process a speech signal - 20%

End of year examination – 80%

Programme or List of Programmes

BEng in Electronic Engineering

Archives: