Digital Signal Processing

EEE30004 12.5 Credit Points Hawthorn, Sarawak Available to incoming Study Abroad and Exchange students

Duration

  • One Semester or equivalent

Contact hours

  • 60 Hours

On-campus unit delivery combines face-to-face and digital learning.

2023 teaching periods

Hawthorn

Higher Ed. Semester 2

Dates:
31 Jul 23 - 29 Oct 23

Results:
5 Dec 23

Last self enrolment:
13 Aug 23

Census:
31 Aug 23

Last withdraw without fail:
15 Sep 23

Prerequisites

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Aims and objectives

This unit of study aims to introduce the principles of signal processing, with emphasis on discrete signal processing. It will provide the students with the theoretical basis for understanding digital signal processing fundamentals schemes along with discussions concerning the basis of statistics, probability and stochastic processes.

Unit Learning Outcomes (ULO)

Students who successfully complete this unit will be able to:

1. Appreciate time domain and frequency domain representations and properties of signals and signal processing systems (K1, K2, S1).

2. Appreciate fundamentals of stochastic signals and stochastic signal processing. (K1, K2, S1)

3. Analyse sampling and digital quantification mechanisms in digital signal processing. (K1, K2, S1)

4. Apply transformation methods to the analysis of continuous and discrete signals and the analysis and design of digital filters in the time and frequency domains. (K1, K2, K3, S1, S2)

5. Apply software tools to the design and analysis of signal processing systems. (K1, K2, S1, S2)

Swinburne Engineering Competencies (A1-7, K1-6, S1-4): find out more about Engineering Skills and Competencies including the Engineers Australia Stage 1 Competencies.