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Published by Springer, 2007
ISBN 10: 3540684786ISBN 13: 9783540684787
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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Published by Springer, 2007
ISBN 10: 3540684786ISBN 13: 9783540684787
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Published by Springer, 2010
ISBN 10: 3642088031ISBN 13: 9783642088032
Seller: booksXpress, Bayonne, NJ, U.S.A.
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Soft Cover. Condition: new.
Published by Springer, 2007
ISBN 10: 3540684786ISBN 13: 9783540684787
Seller: booksXpress, Bayonne, NJ, U.S.A.
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Hardcover. Condition: new.
Published by Springer, 2007
ISBN 10: 3540684786ISBN 13: 9783540684787
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Condition: New.
Published by Springer, 2010
ISBN 10: 3642088031ISBN 13: 9783642088032
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Condition: New.
Published by Springer, 2007
ISBN 10: 3540684786ISBN 13: 9783540684787
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Springer Berlin, 2007
ISBN 10: 3540684786ISBN 13: 9783540684787
Seller: Buchpark, Trebbin, Germany
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Condition: Sehr gut. 2007. Neubindung, Buchschnitt leicht verkürzt 3668722/12.
Published by Springer Berlin Heidelberg Jul 2007, 2007
ISBN 10: 3540684786ISBN 13: 9783540684787
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Book Print on Demand
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses linear estimation theory, which is essential for effective signal processing. The first section offers a comprehensive overview of key methods like reduced-rank signal processing and Krylov subspace methods of numerical mathematics. Also, the relationship between statistical signal processing and numerical mathematics is presented. In the second part, the theory is applied to iterative multiuser detection receivers (Turbo equalization) which are typically desired in wireless communications systems. 256 pp. Englisch.
Published by Springer Berlin Heidelberg Nov 2010, 2010
ISBN 10: 3642088031ISBN 13: 9783642088032
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Book Print on Demand
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses linear estimation theory, which is essential for effective signal processing. The first section offers a comprehensive overview of key methods like reduced-rank signal processing and Krylov subspace methods of numerical mathematics. Also, the relationship between statistical signal processing and numerical mathematics is presented. In the second part, the theory is applied to iterative multiuser detection receivers (Turbo equalization) which are typically desired in wireless communications systems. 256 pp. Englisch.
Published by Springer Berlin Heidelberg, 2007
ISBN 10: 3642088031ISBN 13: 9783642088032
Seller: Revaluation Books, Exeter, United Kingdom
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Paperback. Condition: Brand New. 251 pages. 9.25x6.10x0.58 inches. In Stock.
Published by Springer Berlin Heidelberg, 2007
ISBN 10: 3540684786ISBN 13: 9783540684787
Seller: moluna, Greven, Germany
Book Print on Demand
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensive overview of linear estimation algorithmsThis book focuses linear estimation theory, which is essential for effective signal processing. The first section offers a comprehensive overview of key methods like reduced-rank signal pro.
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642088031ISBN 13: 9783642088032
Seller: moluna, Greven, Germany
Book Print on Demand
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensive overview of linear estimation algorithmsThis book focuses linear estimation theory, which is essential for effective signal processing. The first section offers a comprehensive overview of key methods like reduced-rank signal pro.
Published by Springer, 2007
ISBN 10: 3540684786ISBN 13: 9783540684787
Seller: Books Puddle, New York, NY, U.S.A.
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Condition: Used. pp. 256.
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642088031ISBN 13: 9783642088032
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - One major area in the theory of statistical signal processing is reduced-rank - timation where optimal linear estimators are approximated in low-dimensional subspaces, e.g., in order to reduce the noise in overmodeled problems, - hance the performance in case of estimated statistics, and/or save compu- tional complexity in the design of the estimator which requires the solution of linear equation systems. This book provides a comprehensive overview over reduced-rank lters where the main emphasis is put on matrix-valued lters whose design requires the solution of linear systems with multiple right-hand sides. In particular, the multistage matrix Wiener lter, i.e., a reduced-rank Wiener lter based on the multistage decomposition, is derived in its most general form. In numerical mathematics, iterative block Krylov methods are very po- lar techniques for solving systems of linear equations with multiple right-hand sides, especially if the systems are large and sparse. Besides presenting a - tailed overview of the most important block Krylov methods in Chapter 3, which may also serve as an introduction to the topic, their connection to the multistage matrix Wiener lter is revealed in this book. Especially, the reader will learn the restrictions of the multistage matrix Wiener lter which are necessary in order to end up in a block Krylov method. This relationship is of great theoretical importance because it connects two di erent elds of mathematics, viz., statistical signal processing and numerical linear algebra.
Published by Springer Berlin Heidelberg, 2007
ISBN 10: 3540684786ISBN 13: 9783540684787
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - One major area in the theory of statistical signal processing is reduced-rank - timation where optimal linear estimators are approximated in low-dimensional subspaces, e.g., in order to reduce the noise in overmodeled problems, - hance the performance in case of estimated statistics, and/or save compu- tional complexity in the design of the estimator which requires the solution of linear equation systems. This book provides a comprehensive overview over reduced-rank lters where the main emphasis is put on matrix-valued lters whose design requires the solution of linear systems with multiple right-hand sides. In particular, the multistage matrix Wiener lter, i.e., a reduced-rank Wiener lter based on the multistage decomposition, is derived in its most general form. In numerical mathematics, iterative block Krylov methods are very po- lar techniques for solving systems of linear equations with multiple right-hand sides, especially if the systems are large and sparse. Besides presenting a - tailed overview of the most important block Krylov methods in Chapter 3, which may also serve as an introduction to the topic, their connection to the multistage matrix Wiener lter is revealed in this book. Especially, the reader will learn the restrictions of the multistage matrix Wiener lter which are necessary in order to end up in a block Krylov method. This relationship is of great theoretical importance because it connects two di erent elds of mathematics, viz., statistical signal processing and numerical linear algebra.
Published by Springer, 2010
ISBN 10: 3642088031ISBN 13: 9783642088032
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Book Print on Demand
Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Published by Springer, 2007
ISBN 10: 3540684786ISBN 13: 9783540684787
Seller: Majestic Books, Hounslow, United Kingdom
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Condition: Used. pp. 256 Illus.
Published by Springer, 2007
ISBN 10: 3540684786ISBN 13: 9783540684787
Seller: Mispah books, Redhill, SURRE, United Kingdom
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Hardcover. Condition: Like New. Like New. book.