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ENG572 - Digital Signal Processing

2024

Sector

Higher Education

Discipline

Engineering

Credit Points

Equivalent Units

(ENG421)

Prerequisites

Incompatible

Coerequisites

Assumed Knowledge

ENG325 and SMA212 or equivalent from previous studies.

Unit Description

This unit focuses on developing techniques and algorithms for solving discrete-time signal processing problems for real world applications. It covers the fundamentals of sinusoidal signals, followed by spectrum representation of signals, sampling and aliasing of signals, finite impulse response (FIR) filter design and implementation, the discrete frequency response, representation of signals and systems using the z-transform, bilinear transforms, infinite impulse response (IIR) filter design and implementation, and spectral analysis of signals. Audio-visual applications are used throughout the unit to illustrate the characteristics of the various techniques and algorithms.

Unit Learning Outcomes

1.	Analyse and synthesize discrete signals using time and frequency domain techniques.
2.	Design FIR and IIR filters using time and frequency domain techniques including the z-transform.
3.	Implement and evaluate discrete signals and systems in practice.
4.	Use spectral analysis to evaluate digital signals and systems
5.	Use effective oral, written, numeric and technical communication methods, including project and practical reports, to convey ideas and principles related to digital signal processing.

Assessment Overview

	Assessment Task	Value (of total mark)	Related Learning Outcome/s
1.	Four short laboratory exercises (equal value, equivalent to 1 page each)	10%	1,2,3,4
2.	Two laboratory project reports (equal value, equivalent to 5 pages each)	20%	1,2,3,4,5
3.	Mid semester test (2 hrs)	30%	1,2,3,4
4.	Final Test (2 hrs)	40%	1,2,3,4

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