This unit covers the following topics: Analogue and Digital Filters—linear-phase and minimum-phase filters, analogue filter approximation and realisation, IIR digital filter design, FIR digital filter design, realisation of digital filters; Optimum and Adaptive Filters—random signals and filtering, 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.<br/><br/>The academic objectives of the unit are (1) the ability to choose and design appropriate analogue and digital filters and realise them in software and... -- Course Website
Instructor: Associate Professor Roberto Togneri
Prerequisites: (ENSC3015 Signals and Systems or MECH4424 Measurement and Noise) and CITS2401 Computer Analysis and Visualisation
