Items related to Numerical Bayesian Methods Applied to Signal Processing...
Synopsis
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.
"synopsis" may belong to another edition of this title.
From the Back Cover
This book is concerned with the processing of signals that have been sampled and digitized. The authors present algorithms for the optimization, random simulation, and numerical integration of probability densities for applications of Bayesian inference to signal processing. In particular, methods are developed for the computation of marginal densities and evidence, and are applied to previously intractable problems either involving large numbers of parameters or where the signal model is of a complex form. The emphasis is on the applications of these methods notably to the restoration of digital audio recordings and biomedical data. After a chapter which sets out the main principles of Bayesian inference applied to signal processing, subsequent chapters cover numerical approaches to these techniques, the use of Markov Chain Monte Carlo methods, the identification of abrupt changes in data using the Bayesian piecewise linear model, and identifying missing samples in digital audio signals.
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date1996
- ISBN 10 0387946292
- ISBN 13 9780387946290
- BindingHardcover
- LanguageEnglish
- Number of pages258
Search results for Numerical Bayesian Methods Applied to Signal Processing...
Seller Image
Numerical Bayesian Methods Applied to Signal Processing
Seller: Attic Books (ABAC, ILAB), London, ON, Canada
Seller rating 5 out of 5 stars
Hardcover. Condition: Fine. Statistics and Computing. xiv, 244 p. 24 cm. 118 b&w figures. Yellow hardcover. Topics: probabilistic inference in signal processing; numerical Bayesian inference; Markov Chain Monte Carlo methods; retrospective changepoint detection; restoration of missing samples in digital audio signals; integration in Bayesian data analysis. Appendices and index. Seller Inventory # 116405
Quantity: 1 available
Stock Image
Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)
Seller: HPB-Red, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_388330373
Quantity: 1 available
Seller Image
Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)
Seller: Solr Books, Lincolnwood, IL, U.S.A.
Seller rating 4 out of 5 stars
Condition: good. This book is in Good condition. There may be some notes and highligting but otherwise the book is in overall good condition. Seller Inventory # 5D4000009S3Q_ns
Quantity: 1 available
Stock Image
Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)
Seller: Anybook.com, Lincoln, United Kingdom
Seller rating 5 out of 5 stars
Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9780387946290. Seller Inventory # 5831601
Quantity: 1 available
Stock Image
Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)
Seller: Anybook.com, Lincoln, United Kingdom
Seller rating 5 out of 5 stars
Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9780387946290. Seller Inventory # 5831598
Quantity: 1 available
Stock Image
Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)
Seller: Mispah books, Redhill, SURRE, United Kingdom
Seller rating 4 out of 5 stars
Hardcover. Condition: Like New. LIKE NEW. book. Seller Inventory # ERICA82803879462923
Quantity: 1 available
Stock Image
Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Feb2215580174148
Quantity: Over 20 available
Seller Image
Numerical Bayesian Methods Applied to Signal Processing
Published by
Springer New York Feb 1996, 1996
ISBN 10: 0387946292
ISBN 13: 9780387946290
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 264 pp. Englisch. Seller Inventory # 9780387946290
Quantity: 2 available
Stock Image
Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9780387946290_new
Quantity: Over 20 available
Seller Image
Numerical Bayesian Methods Applied to Signal Processing
Published by
Springer New York, Springer New York, 1996
ISBN 10: 0387946292
ISBN 13: 9780387946290
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9780387946290
Quantity: 1 available