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Advanced Digital Signal Processing and Noise Reduction - Saeed V. Vaseghi

Advanced Digital Signal Processing and Noise Reduction

Buch | Hardcover
544 Seiten
2009 | 4th edition
John Wiley & Sons Inc (Verlag)
978-0-470-75406-1 (ISBN)
CHF 176,15 inkl. MwSt
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Digital 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. The observation signals are often distorted, incomplete and noisy and therefore noise reduction, the removal of channel distortion, and replacement of lost samples are important parts of a signal processing system. The fourth edition of Advanced Digital Signal Processing and Noise Reduction updates and extends the chapters in the previous edition and includes two new chapters on MIMO systems, Correlation and Eigen analysis and independent component analysis. The wide range of topics covered in this book include Wiener filters, echo cancellation, channel equalisation, spectral estimation, detection and removal of impulsive and transient noise, interpolation of missing data segments, speech enhancement and noise/interference in mobile communication environments. This book provides a coherent and structured presentation of the theory and applications of statistical signal processing and noise reduction methods.



Two new chapters on MIMO systems, correlation and Eigen analysis and independent component analysis


Comprehensive coverage of advanced digital signal processing and noise reduction methods for communication and information processing systems


Examples and applications in signal and information extraction from noisy data


Comprehensive but accessible coverage of signal processing theory including probability models, Bayesian inference, hidden Markov models, adaptive filters and Linear prediction models

Advanced Digital Signal Processing and Noise Reduction is an invaluable text for postgraduates, senior undergraduates and researchers in the fields of digital signal processing, telecommunications and statistical data analysis. It will also be of interest to professional engineers in telecommunications and audio and signal processing industries and network planners and implementers in mobile and wireless communication communities.

SAEED V. VASEGHI, Brunel University, UK

Preface 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

Erscheint lt. Verlag 2.3.2009
Verlagsort New York
Sprache englisch
Maße 177 x 252 mm
Gewicht 1106 g
Themenwelt Technik Elektrotechnik / Energietechnik
Technik Nachrichtentechnik
ISBN-10 0-470-75406-0 / 0470754060
ISBN-13 978-0-470-75406-1 / 9780470754061
Zustand Neuware
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