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Advanced Digital Signal Processing and Noise Reduction by Saeed V. Vaseghi β€” book cover

Advanced Digital Signal Processing and Noise Reduction

by Saeed V. Vaseghi
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Synopsis

Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete and noisy and therefore noise reduction, the removal of channel distortion, and replacement of lost samples are important parts of a signal processing system.

The fourth edition of Advanced Digital Signal Processing and Noise Reduction updates and extends the chapters in the previous edition and includes two new chapters on MIMO systems, Correlation and Eigen analysis and independent component analysis. The wide range of topics covered in this book include Wiener filters, echo cancellation, channel equalisation, spectral estimation, detection and removal of impulsive and transient noise, interpolation of missing data segments, speech enhancement and noise/interference in mobile communication environments. This book provides a coherent and structured presentation of the theory and applications of statistical signal processing and noise reduction methods.

  • Two new chapters on MIMO systems, correlation and Eigen analysis and independent component analysis

  • Comprehensive coverage of advanced digital signal processing and noise reduction methods for communication and information processing systems

  • Examples and applications in signal and information extraction from noisy data

  • Comprehensive but accessible coverage of signal processing theory including probability models, Bayesian inference, hidden Markov models, adaptive filters and Linear prediction models

    Advanced Digital Signal Processing and Noise Reduction is an invaluable text for postgraduates, senior undergraduates and researchers in the fields of digital signal processing, telecommunications and statistical data analysis. It will also be of interest to professional engineers in telecommunications and audio and signal processing industries and network planners and implementers in mobile and wireless communication communities.

    Booknews

    Vaseghi (communications and signal processing, Brunel U., Britain) introduces the fundamentals of two techniques that lie at the core of his fields, noting that the increasing use of digital cellular mobile systems in a variety of adverse environments is making noise reduction a particularly important aspect of communication system design. The 1996 first edition, titled , was published jointly with B. G. Teubner. His treatment should be accessible to professional engineers and graduate students in telecommunications and audio and signal processing. Annotation c. Book News, Inc., Portland, OR (booknews.com)

  • About the Author, Saeed V. Vaseghi

    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.

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    Book Details

    Published
    March 1, 2009
    Publisher
    Wiley, John & Sons, Incorporated
    Format
    Hardcover
    ISBN
    9780470754061

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