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Springer Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)

Name: Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)
Brand: Springer

Computer Science

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Description

This book is concerned with the processing of signals that have been sam pled and digitized. The fundamental theory behind Digital Signal Process ing has been in existence for decades and has extensive applications to the fields of speech and data communications, biomedical engineering, acous tics, sonar, radar, seismology, oil exploration, instrumentation and audio signal processing to name but a few [87]. The term "Digital Signal Processing", in its broadest sense, could apply to any operation carried out on a finite set of measurements for whatever purpose. A book on signal processing would usually contain detailed de scriptions of the standard mathematical machinery often used to describe signals. It would also motivate an approach to real world problems based on concepts and results developed in linear systems theory, that make use of some rather interesting properties of the time and frequency domain representations of signals. While this book assumes some familiarity with traditional methods the emphasis is altogether quite different. The aim is to describe general methods for carrying out optimal signal processing.

Product Specifications

Brand: Springer
Format: Hardcover
ASIN: 0387946292
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 23 February 1996
Listed Since: 12 January 2007

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Springer Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)

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