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ENGT4305 Optimum and Adaptive Filtering

The availability of units in Semester 1, 2, 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) Old unit code: 620.448
 
OutcomesStudents gain in-depth technical competence in analysis, design and implementation of algorithms for optimum and adaptive filtering; 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 estimation; 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, lattice filters; 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: 620.228 Signals and Systems 228 (renamed ENGT2305 Signals and Systems 2) and 530.218 Mathematics 218 (renamed MATH2218 Mathematics E2B)
Advisable prior study: analog and digital filter design from 620.328 Signals and Systems 328 (renamed ENGT3306 Signals and Systems 3) or equivalent, and stochastic signal processing from 530.358 Mathematics 358 (renamed MATH3358 Mathematics E3A) or equivalent
Contact hours—60 (lectures: 36 hrs; tutorials/labs: 24 hrs)

Unit Web Page: http://student.ee.uwa.edu.au/units/engt4305
 
 
 
Books and other material wherever 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. Books marked with an asterisk (*) are available in paperback.