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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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