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Table of Contents
pt. I. Basic digital signal processing. Introduction ; Fourier analysis and synthesis ; z-Transform ; Digital filters ; Sampling and quantisation
pt. II. Model-based signal processing. Information theory and probability models ; Bayesian inference ; Least square error, Wiener-Kolmogrov filters ; Adaptive filters : Kalman, RLS, LMS ; Linear prediction models ; Hidden Markov models ; Eigen vector analysis, principal component analysis and independent component analysis
pt. III. Applications of digital signal processing to speech, music and telecommunications. Music signal processing and auditory perception ; Speech processing ; Speech enhancement ; Echo cancellation ; Channel equalisation and blind deconvolution ; Signal processing in mobile communication.
pt. II. Model-based signal processing. Information theory and probability models ; Bayesian inference ; Least square error, Wiener-Kolmogrov filters ; Adaptive filters : Kalman, RLS, LMS ; Linear prediction models ; Hidden Markov models ; Eigen vector analysis, principal component analysis and independent component analysis
pt. III. Applications of digital signal processing to speech, music and telecommunications. Music signal processing and auditory perception ; Speech processing ; Speech enhancement ; Echo cancellation ; Channel equalisation and blind deconvolution ; Signal processing in mobile communication.