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
STAT2063 Probabilistic Methods and their Applications
and ELEC3015 Signals and Systems
and CITS2401 Computer Analysis and Visualisation
and Enrolment in
Bachelor of Engineering (Honours) or an associated Combined Degree

or
Enrolment in
62550 Master of Professional Engineering (Electrical and Electronic Engineering specialisation)
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.
  • Unit readings, including any essential textbooks, are listed in the unit outline for each unit, one week prior the commencement of study. The unit outline will be available via the LMS and the UWA Handbook one week prior the commencement of study. Reading lists and essential textbooks are subject to change each semester. Information on essential textbooks will also be made available on the Essential Textbooks. This website is updated regularly in the lead up to semester so content may change. It is recommended that students purchase essential textbooks for convenience due to the frequency with which they will be required during the unit. A limited number of textbooks will be made available from the Library in print and will also be made available online wherever possible. Essential textbooks can be purchased from the commercial vendors to secure the best deal. The Student Guild can provide assistance on where to purchase books if required. Books can be purchased second hand at the Guild Secondhand bookshop (second floor, Guild Village), which is located on campus.
  • 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.