Registry

Module Specifications

Current Academic Year 2012 - 2013
Please note that this information is subject to change.

Module Title	DSP - Signal Modelling & Compression
Module Code	EE502
School	School of Electronic Engineering
Online Module Resources
Module Co-ordinator	Semester 1: Anthony Holohan Semester 2: Anthony Holohan Autumn: Anthony Holohan
Module Teacher	Anthony Holohan
NFQ level	8	Credit Rating	7.5
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

Description

Module Motivation:Digital signal processing has been a growing and dynamic field for more than two decades and there is every indication that this growth will continue and even accelerate. During this growth there has been a close relationship between the development of new algorithms and theoretical results, the exploitation of new technology and the application of DSP to many new fields such as telecommunications, speech, vision, radar, sonar, geophysics and machine control.

Learning Outcomes

1. Analyse and efficiently model digital signals
2. Analyse and design appropriate and efficient signal estimators
3. Know how and when to apply two-dimensional signal processing
4. Design and apply multi-rate DSP systems
5. Design signal (speech & audio) coding systems.

Workload	Full-time hours per semester
*Type*	*Hours*	*Description*
Lecture	36	No Description
Assignment	18	No Description
Independent learning	134	No Description
Total Workload: 188

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Signal Modelling.
Pade & Prony Matching, Solution of Autocorrelation Normal Equations, Burg's Algorithm, Linear Prediction, Wiener and Kalman Filtering..

Spectral Estimation:.
non-parametric (periodogram, Welsh and Blackman-Tukey modifications), parametric (AR, MA and ARMA)..

Two Dimensional Signal Processing:.
2D z-transform, 2-D DFT and DCT, 2-D filters, image processing..

Multirate Signal Processing:.
decimation & interpolation, polyphase filters, QMF filter banks, sampling rate conversion, sigma-delta A2D..

Signal Coding:.
waveform coding, predictive coding, transform coding, MPEG1/2/4 audio and speech coding..

Assessment Breakdown
Continuous Assessment	25%	Examination Weight	75%

Course Work Breakdown
Type	Description	% of total	Assessment Date
Project	Design a model for a speech signal	25%	Week 8

Reassessment Requirement
Resit arrangements are explained by the following categories; 1 = A resit is available for all components of the module 2 = No resit is available for 100% continuous assessment module 3 = No resit is available for the continuous assessment component
This module is category 1

Indicative Reading List

Bose, T: 2004, Digital Signal and Image Processing, Wiley,
Mitra, S. K.: 2001, Digital Signal Processing, McGraw Hill,
Lim, J.S. and Oppenheim, A.V: 1988, Advanced Topics in Signal Processing, PrenticeHall,
Grant, P.M. et al: 1989, Analogue and Digital Signal Processing and Coding, Chartwell Bratt,
Proakis, J.G. and Manolakis, D.G.: 1992, Digital Signal Processing, Macmillan,
Lim, J.S: 1990, Two Dimensional Signal and Image Processing, Prentice Hall,

Other Resources

5602, Website, Seán Marlow, 2009, EE502: Digital Signal Processing, http://elm.eeng.dcu.ie/~ee502/,

Array

Programme or List of Programmes

CAPD

PhD

CAPM

MSc

CAPT

PhD-track

DMEV

M.Eng. in Digital Media Engineering