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ISBN 10: 1598293672ISBN 13: 9781598293678
Librería: Basi6 International, Irving, TX, Estados Unidos de America
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Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Publicado por Springer, 2021
ISBN 10: 3030649768ISBN 13: 9783030649760
Librería: booksXpress, Bayonne, NJ, Estados Unidos de America
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Soft Cover. Condición: new.
Publicado por Springer International Publishing Dez 2007, 2007
ISBN 10: 3031013980ISBN 13: 9783031013980
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Libro Impresión bajo demanda
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The purpose of this lecture book is to present the state of the art in nonlinear blind source separation, in a form appropriate for students, researchers and developers. Source separation deals with the problem of recovering sources that are observed in a mixed condition. When we have little knowledge about the sources and about the mixture process, we speak of blind source separation. Linear blind source separation is a relatively well studied subject, however nonlinear blind source separation is still in a less advanced stage, but has seen several significant developments in the last few years.This publication reviews the main nonlinear separation methods, including the separation of post-nonlinear mixtures, and the MISEP, ensemble learning and kTDSEP methods for generic mixtures. These methods are studied with a significant depth. A historical overview is also presented, mentioning most of the relevant results, on nonlinear blind source separation, that have been presented over the years. 116 pp. Englisch.
Publicado por Springer, 2021
ISBN 10: 3030649768ISBN 13: 9783030649760
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Condición: New.
Publicado por Springer, 2021
ISBN 10: 3030649768ISBN 13: 9783030649760
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Libro
Condición: New.
Publicado por Springer, 2021
ISBN 10: 3030649768ISBN 13: 9783030649760
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Libro
Condición: As New. Unread book in perfect condition.
Publicado por Springer, 2021
ISBN 10: 3030649768ISBN 13: 9783030649760
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Condición: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Publicado por Springer International Publishing, 2007
ISBN 10: 3031013980ISBN 13: 9783031013980
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Libro
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The purpose of this lecture book is to present the state of the art in nonlinear blind source separation, in a form appropriate for students, researchers and developers. Source separation deals with the problem of recovering sources that are observed in a mixed condition. When we have little knowledge about the sources and about the mixture process, we speak of blind source separation. Linear blind source separation is a relatively well studied subject, however nonlinear blind source separation is still in a less advanced stage, but has seen several significant developments in the last few years.This publication reviews the main nonlinear separation methods, including the separation of post-nonlinear mixtures, and the MISEP, ensemble learning and kTDSEP methods for generic mixtures. These methods are studied with a significant depth. A historical overview is also presented, mentioning most of the relevant results, on nonlinear blind source separation, that have been presented over the years.
Publicado por Springer International Publishing Feb 2021, 2021
ISBN 10: 3030649768ISBN 13: 9783030649760
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Libro Impresión bajo demanda
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a detailed survey of the methods that were recently developed to handle advanced versions of the blind source separation problem, which involve several types of nonlinear mixtures. Another attractive feature of the book is that it is based on a coherent framework. More precisely, the authors first present a general procedure for developing blind source separation methods. Then, all reported methods are defined with respect to this procedure. This allows the reader not only to more easily follow the description of each method but also to see how these methods relate to one another. The coherence of this book also results from the fact that the same notations are used throughout the chapters for the quantities (source signals and so on) that are used in various methods. Finally, among the quite varied types of processing methods that are presented in this book, a significant part of this description is dedicated to methods based on artificial neural networks, especially recurrent ones, which are currently of high interest to the data analysis and machine learning community in general, beyond the more specific signal processing and blind source separation communities. 84 pp. Englisch.
Publicado por Springer, 2021
ISBN 10: 3030649768ISBN 13: 9783030649760
Librería: GreatBookPricesUK, Castle Donington, DERBY, Reino Unido
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Condición: New.
Publicado por Springer Nature, 2021
ISBN 10: 3030649768ISBN 13: 9783030649760
Librería: Revaluation Books, Exeter, Reino Unido
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Paperback. Condición: Brand New. 76 pages. 9.25x6.10x0.17 inches. In Stock.
Publicado por Springer 2021-02, 2021
ISBN 10: 3030649768ISBN 13: 9783030649760
Librería: Chiron Media, Wallingford, Reino Unido
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PF. Condición: New.
Publicado por Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2007
ISBN 10: 3031013980ISBN 13: 9783031013980
Librería: moluna, Greven, Alemania
Libro Impresión bajo demanda
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The purpose of this lecture book is to present the state of the art in nonlinear blind source separation, in a form appropriate for students, researchers and developers. Source separation deals with the problem of recovering sources that are observed in a m.
Publicado por Springer, 2021
ISBN 10: 3030649768ISBN 13: 9783030649760
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Condición: New.
Publicado por Springer, 2021
ISBN 10: 3030649768ISBN 13: 9783030649760
Librería: GreatBookPricesUK, Castle Donington, DERBY, Reino Unido
Libro
Condición: As New. Unread book in perfect condition.
Publicado por Springer International Publishing, 2021
ISBN 10: 3030649768ISBN 13: 9783030649760
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Libro
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a detailed survey of the methods that were recently developed to handle advanced versions of the blind source separation problem, which involve several types of nonlinear mixtures. Another attractive feature of the book is that it is based on a coherent framework. More precisely, the authors first present a general procedure for developing blind source separation methods. Then, all reported methods are defined with respect to this procedure. This allows the reader not only to more easily follow the description of each method but also to see how these methods relate to one another. The coherence of this book also results from the fact that the same notations are used throughout the chapters for the quantities (source signals and so on) that are used in various methods. Finally, among the quite varied types of processing methods that are presented in this book, a significant part of this description is dedicated to methods based on artificial neural networks, especially recurrent ones, which are currently of high interest to the data analysis and machine learning community in general, beyond the more specific signal processing and blind source separation communities.
Publicado por Springer International Publishing, 2021
ISBN 10: 3030649768ISBN 13: 9783030649760
Librería: moluna, Greven, Alemania
Libro Impresión bajo demanda
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents advanced configurations of the blind source separation problem, involving bilinear, linear-quadratic and polynomial mixing modelsProvides a detailed and coherent description of the methods reported in the literature for handling these typ.
Publicado por M & Cp, 2008
ISBN 10: 1598293672ISBN 13: 9781598293678
Librería: dsmbooks, Liverpool, Reino Unido
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Hardcover. Condición: Like New. Like New. book.
Publicado por Springer, 2021
ISBN 10: 3030649768ISBN 13: 9783030649760
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
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Condición: New.