Course handbook

Description

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.


Availability2017 Course Timetables

Callaghan

  • Semester 1 - 2017

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


Content

  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

Requisite

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

Callaghan

Laboratory

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

Lecture

Face to Face On Campus 3 hour(s) per Week for Full Term

Tutorial

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