ELEC4404 Signal Processing

6 points
(see Timetable)
Semester 1UWA (Perth)Face to face
The topics covered in this unit include stochastic signal processing—single and joint distributions and random variables, random signals and properties, wide-sense stationary and power spectral density, white Gaussian noise and filtering; optimum and adaptive filters—optimum signal estimation (MMSE), Wiener filters, linear prediction, least-squares filtering, LMS and RLS adaptive filters, Kalman filters; signal models—AR, MA, ARMA; and spectrum estimation—non-parametric methods, parametric methods.
Students are able to (1) demonstrate professional engineering skills and abilities when working in teams; (2) apply random signal analysis to modelling and filtering; (3) evaluate, design and apply optimum and adaptive filters to signals and engineering systems; (4) analyse and evaluate signal modelling techniques for system identification; and (5) evaluate and apply spectrum estimation methods to the spectral analysis of signals.
Indicative assessments in this unit are as follows: (1) laboratories; (2) design project; and (3) tests and a final examination. Further information is available in the unit outline.

Supplementary assessment is only available in this unit in the case of a student who has obtained a mark of 45 to 49 and is currently enrolled in this unit, and it is the only remaining unit that the student must pass in order to complete their course.
Unit Coordinator(s)
Professor Roberto Togneri
Unit rules
enrolment in the Master of Professional Engineering (Electrical and Electronic Engineering specialisation, Mechanical Engineering specialisation
Software Engineering specialisation); for pre-2012 courses: ELEC3306 Signals and Systems 3
ELEC2305 Signals and Systems 2
Advisable prior study:
CITS2401 Computer Analysis and Visualisation
ENSC3015 Signals and Systems
ELEC2306 Fundamentals of Electrical Engineering
Contact hours
lectures: 36 hours; practical classes: 12 hours; labs: 6 hours
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