ELEC ENG 4112 - Signal Processing Applications

North Terrace Campus - Semester 1 - 2021

This course builds on fundamental concepts in signal processing and teaches a range of more advanced techniques. The course focuses on the practical applications across multiple disciplines in electrical and electronic engineering. This is an elective course and requires completed prior studies in linear systems, frequency analysis, linear algebra and calculus. Course syllabus: Introductory and Preliminary material ? Discrete time linear signals and systems; Digital filters; Random variables and random processes Array signal processing ? signal models, beamforming, High resolution methods for directions-of-arrival estimation. Applications in radar including matched filtering and, imaging (SAR/ISAR) Multi-rate signal processing ? rate changers, aliasing and imaging, polyphase representation, efficient algorithms for multi-rate systems, applications of multi-rate signal processing, interpolated FIR filters, wavelet transforms. Optimal filtering ? MMSE FIR filters, linear prediction, Durbin-Levinson algorithm, lattice filters. Adaptive filtering ? motivation, key applications including interference cancellation and adaptive equalisation. The Least-Mean-Square (LMS) adaptive filter, Recursive Least-Squares (RLS), Neural networks.

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