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Multimedia Signal Processing : Theory and Applications in Speech, Music and Communications.

Author: Vaseghi, Saeed V.
Publisher: Wiley 2007.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
The aim of this book is to provide a coherent and structured presentation of the theory and applications of statistical signal processing in three sections: Part 1: Basic Digital Signal Processing, which 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 that covers probability and  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Vaseghi, Saeed V.
ISBN: 1281135267 9781281135261
OCLC Number: 815544263
Description: 1 online resource (675 pages)
Contents: Pt. I. Basic digital signal processing. Introduction ; Fourier analysis and synthesis ; z-Transform ; Digital filters ; Sampling and quantisation --
pt. II. Model-based signal processing. Information theory and probability models ; Bayesian inference ; Least square error, Wiener-Kolmogrov filters ; Adaptive filters : Kalman, RLS, LMS ; Linear prediction models ; Hidden Markov models ; Eigen vector analysis, principal component analysis and independent component analysis --
pt. III. Applications of digital signal processing to speech, music and telecommunications. Music signal processing and auditory perception ; Speech processing ; Speech enhancement ; Echo cancellation ; Channel equalisation and blind deconvolution ; Signal processing in mobile communication.

Abstract:

The aim of this book is to provide a coherent and structured presentation of the theory and applications of statistical signal processing in three sections: Part 1: Basic Digital Signal Processing, which 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 that covers probability and information models, Bayesian inference, Wiener filter, adaptive filters, linear prediction and hidden Markov models; and, Part 3: Applications of Signal Processing in Speech, Music, and Telecommunication, which explains the topics of speech and music processing, echo cancellation, deconvolution and channel equalization, and mobile communication signal processing.

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