The University of Newcastle, Australia

Course handbook


Provides an introduction to the fundamentals of signal processing with an emphasis on filtering and spectral measurement. Both continuous and discrete time processing methods are covered.

Availability2020 Course Timetables


  • Semester 1 - 2020

PSB Singapore

  • Trimester 3 - 2020 (Singapore)

Learning outcomes

On successful completion of the course students will be able to:

1. Discuss the fundamental uses, distinction and trade-offs between analog and digital signal processing methods

2. Demonstrate expertise in analog and digital filter design methodologies

3. Design, implement and test digital filters

4. Apply different transform domain techniques for signal processing

5. Demonstrate skills and understand the principles of extensions and applications

6. Gain experience in working on a practical group project


1.    Review of sampling theory and discrete-time systems

2.    Review of continuous-time and discrete-time Fourier transforms and convolution

3.    Discrete-time and Discrete Fourier Transform Theory

4.    Fast Fourier Transforms

5.    Z-transform

6.    Analog filter design techniques and digital implementation

7.   Extensions and applications

Assumed knowledge

MATH1110 Mathematics for Engineering, Science and Technology 1, AND

MATH1120 Mathematics for Engineering, Science and Technology 2, AND

ELEC2430 Circuits and Signals

Assessment items

Quiz: Quiz

Tutorial / Laboratory Exercises: Laboratory Exercises

Formal Examination: Formal Examination

Contact hours

Callaghan and PSB Singapore


Face to Face On Campus 2 hour(s) per Week for 5 Weeks


Face to Face On Campus 2 hour(s) per Week for Full Term


Face to Face On Campus 1 hour(s) per Week for Full Term