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Statistics and Computing

Numerical Bayesian Methods Applied to Signal Processing

Authors: O Ruanaidh, Joseph J.K., Fitzgerald, William J.

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About this book

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.

Table of contents (8 chapters)

Table of contents (8 chapters)

Buy this book

eBook $149.00
price for USA in USD (gross)
  • ISBN 978-1-4612-0717-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $299.00
price for USA in USD
  • ISBN 978-0-387-94629-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $189.00
price for USA in USD
  • ISBN 978-1-4612-6880-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Numerical Bayesian Methods Applied to Signal Processing
Authors
Series Title
Statistics and Computing
Copyright
1996
Publisher
Springer-Verlag New York
Copyright Holder
Springer-Verlag New York, Inc.
eBook ISBN
978-1-4612-0717-7
DOI
10.1007/978-1-4612-0717-7
Hardcover ISBN
978-0-387-94629-0
Softcover ISBN
978-1-4612-6880-2
Series ISSN
1431-8784
Edition Number
1
Number of Pages
XIV, 244
Topics