Studying online

There are now 2 possible online modes for units:

Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.

Click on an offering mode for more details.

Unit Overview

Description

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.

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 1UWA (Perth)Face to face
Outcomes

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.

Assessment

Indicative assessments in this unit are as follows: (1) lab project; (2) quiz tests; and (3) a final examination. Further information is available in the unit outline.



Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.

Unit Coordinator(s)
Dr Lu Jin
Unit rules
Prerequisites
Enrolment in 62550 Master of Professional Engineering (Electrical and Electronic Engineering specialisation)
or
Enrolment in
Bachelor of Engineering (Honours) or an associated Combined Degree and a WAM of at least 50
and Successful completion of
( CITS2401 Computer Analysis and Visualisation
and STAT2063 Probabilistic Methods and their Applications
and ELEC3015 Signals and Systems
)
Advisable prior study
CITS2401 Computer Analysis and Visualisation and (ELEC3015 Signals and Systems
or ENSC3015 Signals and Systems)
and MATH3023 Advanced Mathematics Applications
Contact hours
lectures: 36 hours
practical classes: 12 hours
labs: 6 hours
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Visit the Essential Textbooks website to see if any textbooks are required for this Unit. The website is updated regularly so content may change. Students are recommended to purchase Essential Textbooks, but a limited number of copies of all Essential Textbooks are held in the Library in print, and as an ebook where possible. Recommended readings for the unit can be accessed in Unit Readings directly through the Learning Management System (LMS).
  • Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.