Available in 2022
Course code



10 units


6000 level

Course handbook


This course provides students with an advanced knowledge of signal processing with an emphasis on filtering, spectral analysis and applications such as image processing and signal compression.



  • Semester 1 - 2022

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


This course has similarities to ELEC3400. If you have completed ELEC3400, you cannot enrol in this course.

Assumed knowledge

ELEC2430 Circuits and Signals

Assessment items

Formal Examination: Final examination

Tutorial / Laboratory Exercises: Laboratory exercises

Quiz: Quiz

Contact hours



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

The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.