Subject description
The aim of this subject is to provide students with a thorough understanding of the fundamental theory and applications of signals, systems, and digital signal processing. Topics covered include: mathematical representations of continuous-time and discrete-time signals; signal sampling and quantisation; linear-time invariant systems and convolution; the z transform and its … For more content click the Read More button below.
Enrolment rules
Pre-Requisite
Tutorial enrolment
Students can enrol online via the Tutorial Enrolment link in SOLS
Delivery
To view information specific to your campus, click on Select availability in the top right of screen and choose from the campus, delivery mode and session options.
Learning outcomes
On successful completion of this subject, students will be able to:
1.
Represent analogue signals in a digital format, and explain the sampling process and the aliasing phenomenon.
2.
Analyse discrete-time LTI systems in both the time and frequency domain.
3.
Identify various signal transforms, their properties and applications.
4.
Employ the DFT and window techniques for spectrum estimation.
5.
Design FIR and IIR digital filters for extracting and modifying signals.
6.
Use tools such as MATLAB to analyse and develop DSP algorithms, systems, and solutions.
Work integrated learning
Embedded WIL:This subject contains elements of "Embedded WIL". Students in this subject will experience activities that relate to or simulate professional practice as part of their learning.
Textbook information
No prescribed textbooks for this subject.