# Advanced Signal Processing and Noise Reduction, 2nd Edition

Genre: Speech Enhancement

Price: $ 72.5 Buy this book

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.

## Editorial Reviews

### From the Back Cover

* Offers a comprehensive insight into a broad range of theory and applications of advanced signal processing

* Presents new chapters and sections on definition and modelling of different types of noise and distortions, multi-band linear prediction models, state-dependent Wiener filters and HMM-based noise reduction

* Explores practical solutions to echo cancellation, impulsive and transient noise removal, broad-band noise removal, channel equalisation, HMM-based signal and noise decomposition.

* Discusses topics such as probability theory, Bayesian estimation and classification, hidden Markov models, adaptive filters, multi-band linear prediction, spectral estimation and impulsive and transient noise removal

For professional engineers in telecommunications and audio and signal processing industries this updated second edition will be a valuable resource. Researchers and postgraduates in the fields of digital signal processing, statistical data analysis and telecommunications will also benefit from this extensive reference.

### About the Author

Saeed Vaseghi is currently a Professor of Communications and Signal Processing at Brunel University’s department of Electronics and Computer Engineering and is Group Leader for the Communications & Multimedia Signal Processing Group.

Previously, Saeed obtained a first in Electrical and Electronics Engineering from Newcastle University, and a PhD in Digital Signal Processing from Cambridge University. His Ph.D. in noisy signal restoration led to establishment of CEDAR, the world’s leading system for restoration of audio signals. Saeed also held a British Telecom lectureship at UEA Norwich, and a readership at Queen’s University of Belfast before his move to Brunel. *–This text refers to an out of print or unavailable edition of this title.*

**Good selection of material, superficial treatment**May 23, 2005

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.