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Sinopsis
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.
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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.
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Numerical Bayesian Methods Applied to Signal Processing
Publicado por
Springer, New York, 1996
ISBN 10: 0387946292
ISBN 13: 9780387946290
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Librería: Attic Books (ABAC, ILAB), London, ON, Canada
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Hardcover. Condición: 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. Nº de ref. del artículo: 116405
Cantidad disponible: 1 disponibles
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Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)
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Condición: 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. Nº de ref. del artículo: 5831598
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Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)
Librería: Anybook.com, Lincoln, Reino Unido
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Condición: 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. Nº de ref. del artículo: 5831601
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Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)
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Condición: good. This book is in Good condition. There may be some notes and highligting but otherwise the book is in overall good condition. Nº de ref. del artículo: 5D4000009S3Q_ns
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Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)
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Hardcover. Condición: 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! Nº de ref. del artículo: S_388330373
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Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)
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Hardcover. Condición: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Nº de ref. del artículo: Scanned0387946292
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Numerical Bayesian Methods Applied to Signal Processing
Librería: moluna, Greven, Alemania
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Condición: New. Nº de ref. del artículo: 5912108
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Numerical Bayesian Methods Applied to Signal Processing
Publicado por
Springer New York Feb 1996, 1996
ISBN 10: 0387946292
ISBN 13: 9780387946290
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: 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. Nº de ref. del artículo: 9780387946290
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Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Condición: New. In. Nº de ref. del artículo: ria9780387946290_new
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Numerical Bayesian Methods Applied to Signal Processing
Publicado por
Springer New York, Springer New York, 1996
ISBN 10: 0387946292
ISBN 13: 9780387946290
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: 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. Nº de ref. del artículo: 9780387946290
Cantidad disponible: 1 disponibles