Description
Book SynopsisDigital signal processing plays a central role in the development of modern communication and information processing systems. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process.
Table of ContentsPreface xix
Acknowledgements xxiii
Symbols xxv
Abbreviations xxix
1 Introduction 1
2 Noise and Distortion 35
3 Information Theory and Probability Models 51
4 Bayesian Inference 107
5 Hidden Markov Models 147
6 Least Square Error Wiener-Kolmogorov Filters 173
7 Adaptive Filters: Kalman, RLS, LMS 193
8 Linear Prediction Models 227
9 Eigenvalue Analysis and Principal Component Analysis 257
10 Power Spectrum Analysis 271
11 Interpolation – Replacement of Lost Samples 295
12 Signal Enhancement via Spectral Amplitude Estimation 321
13 Impulsive Noise: Modelling, Detection and Removal 341
14 Transient Noise Pulses 359
15 Echo Cancellation 371
16 Channel Equalisation and Blind Deconvolution 391
17 Speech Enhancement: Noise Reduction, Bandwidth Extension and Packet Replacement 423
18 Multiple-Input Multiple-Output Systems, Independent Component Analysis 467
19 Signal Processing in Mobile Communication 491
Bibliography 508
Index 509
