Within this course, topics may be offered from time to time to take advantage of the expertise of visitors to the University and academic staff in the IAS. Admission to the course is at the discretion of the Head of Engineering.

Upon completion of this course, students will have the knowledge and skills to

1. describe the properties of z-transforms and its relations to LTI systems
2. use sampling and related concepts such changing sampling rate, pre-ltering to avoid aliasing, oversampling & noise shaping.
3. understand the concepts of all pass and minimum phase systems.
4. understand IIR/FIR lter structures and ability to design lters.
5. understand the processing of real time signals using Fourier techniques and ability to plan and construct systems for spectral estimation of real signals.
6. understand implementational aspects of simple DSP algorithms.

Tutorial Problems (15%); Mid-semester Quiz (20%); Project (20%); Final Exam (45%)

Two one-hour lectures and one-hour tutorial per week and two-hour computer labs during the weeks 8, 9 and 10.

"Signal and Systems" Theory and Differential Equations

Written approval of the Head of Engineering

A.V. Oppenheim & Ronald W. Schafer, "Discrete-Time Signal Processing", Third edition, Pearson, 2010

http://www.pearson.com.au/Catalogue/TitleDetails.aspx?isbn=9780132067096

course page http://eng.anu.edu.au/study/currentstudents/courses