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                         Multimedia Signal Processing

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                              General Information

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Type.................: Ebook

Part Size............: 20,632,645 bytes



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Posted by............: ~tqw~



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                                 Release Notes

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Multimedia Signal Processing is a comprehensive and accessible text to the 

theory and applications of digital signal processing (DSP). The applications of 

DSP are pervasive and include multimedia systems, cellular communication, 

adaptive network management, radar, pattern recognition, medical signal 

processing, financial data forecasting, artificial intelligence, decision 

making, control systems and search engines. This book is organised in to three 

major parts making it a coherent and structured presentation of the theory and 

applications of digital signal processing. A range of important topics are 

covered in basic signal processing, model-based statistical signal processing 

and their applications.



Part 1: Basic Digital Signal Processing gives an introduction to the topic, 

discussing sampling and quantization, Fourier analysis and synthesis, Z-

transform, and digital filters. Part 2: Model-based Signal Processing covers 

probability and information models, Bayesian inference, Wiener filter, adaptive 

filters, linear prediction hidden Markov models and independent component 

analysis. Part 3: Applications of Signal Processing in Speech, Music and 

Telecommunications explains the topics of speech and music processing, echo 

cancellation, deconvolution and channel equalization, and mobile communication 

signal processing.



Covers music signal processing, explains music systems, the anatomy and 

psychoacoustics of hearing and the design of MP3 music coder, Examines speech 

processing technology including speech models, speech coding for mobile phones 

and speech recognition, Covers single-input and multiple-inputs denoising 

methods, bandwidth extension and the recovery of lost speech packetsin 

applications such as voice over IP (VoIP), Illustrated throughout, including 

numerous solved problems, Matlab experiments and demonstrations, Companion 

website features Matlab programs with electronic copies of all figures. This 

book is ideal for researchers, postgraduates and senior undergraduates in the 

fields of digital signal processing, telecommunications and statistical data 

analysis. It will also be a valuable text to professional engineers in 

telecommunications and audio and signal processing industries. 



Table Of Contents



Preface xiii

Acknowledgement xvii

Symbols xix

Abbreviations xxiii

Part I Basic Digital Signal Processing 1

1 Introduction 3

2 Fourier Analysis and Synthesis 25

3 z-Transform 79

4 Digital Filters 111

5 Sampling and Quantisation 155

Part II Model-Based Signal Processing 173

6 Information Theory and Probability Models 175

7 Bayesian Inference 233

8 Least Square Error, Wiener–Kolmogorov Filters 275

9 Adaptive Filters: Kalman, RLS, LMS 297

10 Linear Prediction Models 323

11 Hidden Markov Models 353

12 Eigenvector Analysis, Principal Component Analysis and Independent Component 

   Analysis 381

Part III Applications of Digital Signal Processing to Speech, Music and

Telecommunications 415

13 Music Signal Processing and Auditory Perception 417

14 Speech Processing 483

15 Speech Enhancement 527

16 Echo Cancellation 573

17 Channel Equalisation and Blind Deconvolution 591



18 Signal Processing in Mobile Communication 625

Index 643



Product Details



    * ISBN: 0470062010

    * ISBN-13: 9780470062012

    * Format: Hardcover, 640pp

    * Publisher: Wiley, John & Sons, Incorporated

    * Pub. Date: November 2007



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