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![]( "Buchcover ISBN 9780470066492")
„A valuable and accessible text ... . Suited not only for senior undergraduates and postgraduates but also for researchers and engineers.“ (Zentralblatt Math, 2008/17)
Multimedia Signal Processing
Theory and Applications in Speech, Music and Communications
von Saeed V. VaseghiMultimedia Signal Processing is a comprehensive andaccessible text to the theory and applications of digital signalprocessing (DSP). The applications of DSP are pervasive andinclude multimedia systems, cellular communication, adaptivenetwork management, radar, pattern recognition, medical signalprocessing, financial data forecasting, artificial intelligence, decision making, control systems and search engines.
This book is organised in to three major parts making it acoherent and structured presentation of the theory and applicationsof digital signal processing. A range of important topics arecovered in basic signal processing, model-based statistical signalprocessing and their applications.
Part 1: Basic Digital Signal Processing gives anintroduction to the topic, discussing sampling and quantization, Fourier analysis and synthesis, Z-transform, and digitalfilters.
Part 2: Model-based Signal Processing covers probabilityand information models, Bayesian inference, Wiener filter, adaptivefilters, linear prediction hidden Markov models and independentcomponent analysis.
Part 3: Applications of Signal Processing in Speech, Musicand Telecommunications explains the topics of speech and musicprocessing, echo cancellation, deconvolution and channelequalization, and mobile communication signal processing.
* Covers music signal processing, explains the anatomy andpsychoacoustics 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 packets inapplications such as voice over IP (VoIP)
* Illustrated throughout, including numerous solved problems, Matlab experiments and demonstrations
* Companion website features Matlab and C++ programs withelectronic copies of all figures.
This book is ideal for researchers, postgraduates and seniorundergraduates in the fields of digital signal processing, telecommunications and statistical data analysis. It will also be avaluable text to professional engineers in telecommunications andaudio and signal processing industries.
This book is organised in to three major parts making it acoherent and structured presentation of the theory and applicationsof digital signal processing. A range of important topics arecovered in basic signal processing, model-based statistical signalprocessing and their applications.
Part 1: Basic Digital Signal Processing gives anintroduction to the topic, discussing sampling and quantization, Fourier analysis and synthesis, Z-transform, and digitalfilters.
Part 2: Model-based Signal Processing covers probabilityand information models, Bayesian inference, Wiener filter, adaptivefilters, linear prediction hidden Markov models and independentcomponent analysis.
Part 3: Applications of Signal Processing in Speech, Musicand Telecommunications explains the topics of speech and musicprocessing, echo cancellation, deconvolution and channelequalization, and mobile communication signal processing.
* Covers music signal processing, explains the anatomy andpsychoacoustics 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 packets inapplications such as voice over IP (VoIP)
* Illustrated throughout, including numerous solved problems, Matlab experiments and demonstrations
* Companion website features Matlab and C++ programs withelectronic copies of all figures.
This book is ideal for researchers, postgraduates and seniorundergraduates in the fields of digital signal processing, telecommunications and statistical data analysis. It will also be avaluable text to professional engineers in telecommunications andaudio and signal processing industries.
