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Optimum and Adaptive Filtering 448 (620.448)

The availability of units in Semester 1, 2, full year, etc. was correct at the time of going to press but may be subject to change. For the most up-to-date information click on the Timetable link below.
 
Credit6 points  AvailabilitySemester 2 (See Timetable)
 
OutcomesStudents gain in-depth technical competence in analysis, design and implementation of algorithms for optimum and adaptive filterings; develop skills in the identification, formulation and solution of problems; learn how to apply adaptive filters in control and communications engineering; and understand innovations and advances in signal processing for modern control and communications engineering.
 
ContentThis unit provides a brief review of stochastic processes: stationary processes and models, spectrum analysis; linear optimum filtering: Weiner and Kalman filters and linear prediction; linear adaptive filtering: method of steepest descent, stochastic gradient-based algorithm; method of least squares, standard recursive least-squares estimation, implementation techniques, finite precision and other effects; application to control and communication systems.
 
AssessmentThis comprises an examination, class tests and worked laboratory assignments. The examination assesses students' understanding of adaptive systems theory and its application to control and signal processing engineering practice. Class tests are used for continuous assessment and enable students to monitor their own progress during the semester. The laboratory assignments allow students to analyse, experiment and evaluate the different algorithms and design implementations covered in class, and explore the design and implementation of adaptive filters in control and communications.
 
Location: UWA, Crawley
Mode: on-campus

Unit Rules:
Prerequisites: Signals and Systems 228 (620.228) and Mathematics 218 (530.218)
Advisable prior study: Analog and digital filter design from Signals and Systems 328 (620.328) or equivalent, and stochastic signal processing from mathematics 358 (530.358) or equivalent
Contact hours—60 (lectures: 36 hrs; tutorials/labs: 24 hrs)

Unit Web Page: http://swww.ee.uwa.edu.au/~oaf448/
 
 
 
Books and other material listed may be subject to change. Book lists relating to 'Preliminary Reading', 'Recommended Reading' and 'Textbooks' are, in most cases, available at the University Co-operative Bookshop (from early January) and appropriate administrative offices for students to consult. For first-year units the Bookshop will endeavour to make available photocopies of book lists for individual units.

CRICOS Provider Code: 00126G
Last updated 02 Sep 2003 11:04
Location:  http://year2004.handbooks.uwa.edu.au/page/15670
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