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Advanced Digital Signal Processing and Noise Reduction

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Advanced Digital Signal Processing and Noise Reduction
Saeed V. Vaseghi
Manufacturer: Wiley
ProductGroup: Book
Binding: Hardcover

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ASIN: 047009494X

Book Description

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, Distortion and Diversity in Mobile Environments and Noise Reduction Methods for Speech Enhancement over Noisy Mobile Devices.
* 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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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, Distortion and Diversity in Mobile Environments and Noise Reduction Methods for Speech Enhancement over Noisy Mobile Devices. 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.

Advanced Signal Processing and Digital Noise Reduction

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Polly wanna Kalman filter

Advanced Signal Processing and Digital Noise Reduction
Saeed V. Vaseghi
Manufacturer: John Wiley & Sons Inc
ProductGroup: Book
Binding: Paperback

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Customer Reviews:

Polly wanna Kalman filter.......1997-10-30

They say there are feral parrots in L.A. The first-generation escapees all say "Polly wanna cracker." The second generation says "Pawa-wawa-caca." The third generation says "Squaaaaawk."

This is a third-generation text on signal processing. It touches on many signal processing topics, but something has been lost. Although signal processing is a field in which the applications drive the mathematics every step of the way, that essential connection to applications is very weak here. The book grinds out definition after definition, derivation after derivation, with little real-world motivation or insight. Some of the topics seem disconnected, addressed more out of a sense of duty than passion. Compounding the unpleasantness, the book is filled with typos and grammatical errors. Save your time and money for something better.

Advanced Signal Processing and Noise Reduction, 2nd Edition

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Good selection of material, superficial treatment
Shallow, fragmented and dated.
A good book on noise reduction

Advanced Signal Processing and Noise Reduction, 2nd Edition
Saeed V. Vaseghi
Manufacturer: John Wiley & Sons
ProductGroup: Book
Binding: Hardcover

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ASIN: 0471626929

Book Description

This book presents a broad range of theory and application of statistical signal processing. The emphasis is on digital noise reduction algorithms, particularly important in the field of mobile communication. Vaseghi covers a broad range of applications, including spectral estimation, channel equalization, speech coding over noisy channels, active noise control, echo cancellation, and more.

Customer Reviews:

Good selection of material, superficial treatment.......2005-05-24

This is a book about digital signal processing noise reduction techniques. The selection of techniques covered is very broad, much more extensive than most books I have seen in this field.

Unfortunately, the book has some severe shortcomings. As another reviewer has mentioned, the treatment of each technique is too shallow to be useful, and the bibliography much less than helpful. A helpful bibliography for each section would refer to more extensive treatments that might be usable for design and implementation. The bibliography for each chapter is instead dated and nonspecific, consisting of a seemingly random collection of technical reports, papers, and books published over three or four decades.

The book is filled with equations, which are frustrating to read. They appear to have been typeset using a word processor that did not properly space mathematical symbols. For example, function parameters (in parentheses) are often closer to the following factor than the function name. The equations are often hard to read. The equations dealing with continuous functions are generally straightforward to interpret, but those dealing with discrete-time functions are frequently written with indices in parentheses instead of as subscripts. As you are reading through the mathematics, you have to separate in your mind the functions (with parameters) from the vector elements (with indices). The typesetting occasionally renders greek symbols in a bold font, so sometimes on the same page you will have the same symbols in different equations bolded or not bolded.

Another problem with the mathematics comes about because of the extensiveness of the material. Different signal processing techniques have different mathematical histories, and therefore different naming conventions. The author generally uses the conventional mathematical notation for each technique, leading to jarring transitions from section to section.

All in all, I think this could be a very useful book, if it were more carefully written, typeset adequately, if the treatment of each technique were better motivated and complete enough to use, and if the bibliography provided useful references to specialized treatments of individual topics.

Shallow, fragmented and dated........2002-03-23

The book's back cover claims that "Researchers and postgraduates in the fields of digital signal processing, statistical data analysis and telecommunications will also benefit from this extensive reference." I find this book very disappointing. Its signal processing development is unusually inexact even for beginning graduate students. Its exposition is often verbally vague and mathematically unrigorous, with rather shallow technical depth even for engineering students. Its theoretical framework seems fragmented. Its bibliography is dated and anecdotal. As an active researcher in this field, I would not recommend my colleagues to use this book.

A good book on noise reduction.......2001-08-30

A good book on noise reduction and Wiener filter. But
you may need to read some papers afterwards. Overall it
is quite good!

ZZ Advanced Signal Processing & Digital Noise Reduction ZZ

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SV ZZ Vaseghi
Manufacturer: John Wiley and Sons
ProductGroup: Book
Binding: Hardcover

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