1 x 120-minute lecture-1 weekly
1 x 60-minute lecture-2 weekly
1 x 50-minute tutorial fortnightly
1 x 120-minute practical fortnightly
Enrolment not permitted
1 of ENGR3721, ENGR8821 has been successfully completed
Assumed knowledge
Knowledge such as can be obtained in ENGR2722 Analysis of Engineering Systems and ENGR8722 Analysis of Engineering Systems GE.
Topic description

Ideal filters, cascade design, frequency and magnitude scaling, lowpass to highpass, bandpass, bandstop transformations, analogue Butterworth and Chebyshev filter design. z-transform, Fast Fourier Transform, fast correlation and convolution, oversampling, spectrum estimation and analysis, windowing, FIR and IIR filter design, applications and case studies.

Educational aims

Signal processing is fundamental to all areas of engineering and underpins communication, medicine, defence, security, the entertainment industry, and nearly every aspect of modern life. These applications require precise implementation of engineering based on fundamental principles. The educational aim is to provide understanding of concepts in signal processing, how the theoretical framework impacts and resolves the details of practical application.

Expected learning outcomes
On completion of this topic you will be expected to be able to:

  1. Design and implement analogue and digital filters according to specifications
  2. Specify circuit requirements for signal processing applications
  3. Understand concepts, techniques, and circuits for analogue and digital signal processing
  4. Understand the mathematical and practical connections between analogue and discrete signal processing
  5. Understand and deal with the limitations of various linear and nonlinear analogue and digital circuits and devices
  6. Use MATLAB and/or other computer development tools for signal processing analysis, simulation, study, and research
  7. Implement signal processing algorithms in dedicated Digital Signal Processors for practical applications
  8. Apply the knowledge of various signal processing tools in the research and development of a practical signal processing system for solving real problems

Key dates and timetable

(1), (2)

Each class is numbered in brackets.
Where more than one class is offered, students normally attend only one.

Classes are held weekly unless otherwise indicated.


If you are enrolled for this topic, but all classes for one of the activities (eg tutorials) are full,
contact your College Office for assistance. Full classes frequently occur near the start of semester.

Students may still enrol in topics with full classes as more places will be made available as needed.

If this padlock appears next to an activity name (eg Lecture), then class registration is closed for this activity.

Class registration normally closes at the end of week 2 of each semester.

Classes in a stream are grouped so that the same students attend all classes in that stream.
Registration in the stream will result in registration in all classes.
  Unless otherwise advised, classes are not held during semester breaks or on public holidays.