Module: DSP - Signal Modelling & Compression

Module Specifications.

Current Academic Year 2024 - 2025

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Date posted: September 2024

Module Title	DSP - Signal Modelling & Compression
Module Code	EE502 (ITS) / EEN1066 (Banner)
Faculty	Engineering & Computing	School	Electronic Engineering
Module Co-ordinator	-
Module Teachers	-
NFQ level	9	Credit Rating	7.5
Pre-requisite	Not Available
Co-requisite	Not Available
Compatibles	Not Available
Incompatibles	Not Available

None
Array

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.

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
Lecture	36	No Description
Assignment Completion	18	No Description
Independent Study	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	0%	Examination Weight	0%

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

Reassessment Requirement Type
Resit arrangements are explained by the following categories: Resit category 1: A resit is available for both* components of the module. Resit category 2: No resit is available for a 100% continuous assessment module. Resit category 3: No resit is available for the continuous assessment component where there is a continuous assessment and examination element.
* ‘Both’ is used in the context of the module having a Continuous Assessment/Examination split; where the module is 100% continuous assessment, there will also be a resit of the assessment
This module is category -

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/,