Of the two primary approaches to the classic source separation problem, only one does not impose potentially unreasonable model and likelihood constraints: the Bayesian statistical approach. Bayesian methods incorporate the available information regarding the model parameters and not only allow estimation of the sources and mixing coefficients, but also allow inferences to be drawn from them. Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing offers a thorough, self-contained treatment of the source separation problem. After an introduction to the problem using the "cocktail-party" analogy, Part I provides the statistical background needed for the Bayesian source separation model. Part II considers the instantaneous constant mixing models, where the observed vectors and unobserved sources are independent over time but allowed to be dependent within each vector. Part III details more general models in which sources can be delayed, mixing coefficients can change over time, and observation and source vectors can be correlated over time. For each model discussed, the author gives two distinct ways to estimate the parameters. Real-world source separation problems, encountered in disciplines from engineering and computer science to economics and image processing, are more difficult than they appear. This book furnishes the fundamental statistical material and up-to-date research results that enable readers to understand and apply Bayesian methods to help solve the many "cocktail party" problems they may confront in practice.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Daniel B. Rowe holds a joint appointment as an assistant professor of Biophysics and Biostatistics at the Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
EUR 9,79 per la spedizione da Regno Unito a Italia
Destinazione, tempi e costiEUR 1,19 per la spedizione da U.S.A. a Italia
Destinazione, tempi e costiDa: Anybook.com, Lincoln, Regno Unito
Condizione: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9781584883180. Codice articolo 9935091
Quantità: 1 disponibili
Da: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condizione: Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. Codice articolo 1584883189-11-1
Quantità: 1 disponibili
Da: dsmbooks, Liverpool, Regno Unito
Hardcover. Condizione: Good. Good. book. Codice articolo D8S0-3-M-1584883189-6
Quantità: 1 disponibili
Da: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo FT-9781584883180
Quantità: 1 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 952164-n
Quantità: 1 disponibili
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo FT-9781584883180
Quantità: 1 disponibili
Da: moluna, Greven, Germania
Condizione: New. Daniel B. Rowe holds a joint appointment as an assistant professor of Biophysics and Biostatistics at the Medical College of Wisconsin, Milwaukee, Wisconsin, USA.Of the two primary approaches to the classic source separation problem, only one doe. Codice articolo 904375201
Quantità: 1 disponibili
Da: DeckleEdge LLC, Albuquerque, NM, U.S.A.
Condizione: new. Codice articolo Shelfdream1584883189
Quantità: 1 disponibili
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: New. Codice articolo 952164-n
Quantità: 1 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition. Codice articolo 952164
Quantità: 1 disponibili