Advanced Digital Signal Processing and Noise Reduction / Edition 2

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Overview

Signal processing plays an increasingly central role in the development of modern telecommunication and information processing systems, with a wide range of applications in areas such as multimedia technology, audio-visual signal processing, cellular mobile communication, radar systems and financial data forecasting. The theory and application of signal processing deals with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete and noisy and hence, noise reduction and the removal of channel distortion is an important part of a signal processing system.

Advanced Digital Signal Processing and Noise Reduction, Third Edition, provides a fully updated and structured presentation of the theory and applications of statistical signal processing and noise reduction methods. Noise is the eternal bane of communications engineers, who are always striving to find new ways to improve the signal-to-noise ratio in communications systems and this resource will help them with this task.

Features two new chapters on Noise and Distortion and Noise in Wireless Communications. Topics discussed include: probability theory, Bayesian estimation and classification, hidden Markov models, adaptive filters, multi-band linear prediction, spectral estimation, and impulsive and transient noise removal. Explores practical solutions to interpolation of missing signals, echo cancellation, impulsive and transient noise removal, channel equalisation, HMM-based signal and noise decomposition. This is an invaluable text for senior undergraduates, postgraduates and researchers in the fields of digital signal processing,telecommunications and statistical data analysis. It will also appeal to engineers in telecommunications and audio and signal processing industries.

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Editorial Reviews

Booknews
Vaseghi (communications and signal processing, Brunel U., Britain) introduces the fundamentals of two techniques that lie at the core of his fields, noting that the increasing use of digital cellular mobile systems in a variety of adverse environments is making noise reduction a particularly important aspect of communication system design. The 1996 first edition, titled , was published jointly with B. G. Teubner. His treatment should be accessible to professional engineers and graduate students in telecommunications and audio and signal processing. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780471626923
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 1/28/2000
  • Edition description: Older Edition
  • Edition number: 2
  • Pages: 498
  • Product dimensions: 6.87 (w) x 9.74 (h) x 1.20 (d)

Table of Contents

1 Introduction 1

2 Noise and Distortion 35

3 Information Theory and Probability Models

4 Bayesian Inference 107

5 Hidden Markov Models 147

6 Least Square Error Wiener-Kolmogorov Fillers 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

Index 509

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