Overview

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.

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date

Learning outcomes

Students who successfully complete this unit will be able to:

  • Appreciate time domain and frequency domain representations and properties of signals and signal processing systems (K1, K2, S1)
  • Appreciate fundamentals of stochastic signals and stochastic signal processing (K1, K2, S1)
  • Analyse sampling and digital quantification mechanisms in digital signal processing (K1, K2, S1)
  • 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)
  • Apply software tools to the design and analysis of signal processing systems (K1, K2, S1, S2)

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
On-campus
Lecture		3.33 12 weeks 40
On-campus
Class		0.83 12 weeks 10
On-campus
Lab		0.83 12 weeks 10
Unspecified Activities
Independent Learning		7.50 12 weeks 90
TOTAL150

Assessment

Type Task Weighting ULO's
ExaminationIndividual 50% 1,2,3,4 
Laboratory PracticalsIndividual/Group 40% 4,5 
TestIndividual 10% 1,3,4 

Content

  • Statistics, Applied Probability and Noise
  • Review of continuous time signals, spectra and systems 
  • Discrete Time Signals
  • Discrete systems
  • Design of Digital Filters

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.