Signal Processing


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.



  • Semester 1 - 2017

UoN Singapore

  • Trimester 2 - 2017 (Singapore)

Learning Outcomes

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

1. Students should learn the fundamental distinctions and trade-offs between analog and digital signal processing paradigms.

2. Students should become proficient at several key analog and digital filter design methodologies.

3. Students should be able to design analog filters.

4. Students should be able to design, implement and test digital filters.


1.    Review of sampling theory and discrete-time systems

2.    Review of discrete-time Fourier transforms and convolution

3.    Discrete-time and Discrete Fourier Transform Theory

4.    Fast Fourier Transforms

5.    Z-transform

6.    Filter design techniques and digital implementation

7.    Multi-rate signal processing and introductory filterbanks

8.    Introduction to digital signal compression

9.    Introduction to image processing 

Assumed Knowledge

ELEC2400, MATH2420

Assessment Items

Quiz: Quiz

Tutorial / Laboratory Exercises: Laboratory Exercises

Formal Examination: Formal Examination

Contact Hours

Callaghan and UoN Singapore


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


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

Students enrolled in the part-time evening program at UoN Singapore will receive equivalent instruction delivered in a block mode of 7 teaching weeks.


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