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100%: Dietl, Guido K. E.: Linear Estimation and Detection in Krylov Subspaces (ISBN: 9783642088032) 2010, in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
41%: Dietl, Guido K. E.: Linear Estimation and Detection in Krylov Subspaces als eBook von Guido K. (ISBN: 9783540684794) 2007, Springer, Berlin/Heidelberg, Deutschland, in Deutsch, auch als eBook.Nur diese Ausgabe anzeigen…
Linear Estimation and Detection in Krylov Subspaces
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1
Linear Estimation and Detection in Krylov Subspaces
~EN NWISBN: 9783642088032 bzw. 3642088031, vermutlich in Englisch, Springer, Berlin/Heidelberg/New York, NY, Deutschland, neu.
Lieferung aus: Kanada, In magazzino, più spese di spedizione.
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 älter, i.e., a reduced-rank Wiener älter 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 älter is revealed in this book. Especially, the reader will learn the restrictions of the multistage matrix Wiener älter 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.
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 älter, i.e., a reduced-rank Wiener älter 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 älter is revealed in this book. Especially, the reader will learn the restrictions of the multistage matrix Wiener älter 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.
2
Linear Estimation and Detection in Krylov Subspaces
DE PB NWISBN: 9783642088032 bzw. 3642088031, in Deutsch, Springer, Berlin, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
buecher.de GmbH & Co. KG, [1].
PThis 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./P2010. xx, 232 S. 94 SW-Abb., 11 Tabellen. 235 mmVersandfertig in 3-5 Tagen, Softcover.
buecher.de GmbH & Co. KG, [1].
PThis 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./P2010. xx, 232 S. 94 SW-Abb., 11 Tabellen. 235 mmVersandfertig in 3-5 Tagen, Softcover.
3
Symbolbild
Linear Estimation and Detection in Krylov Subspaces (2010)
DE PB NW RPISBN: 9783642088032 bzw. 3642088031, in Deutsch, Springer Nov 2010, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Titel. 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. This book focuses on the foundations of linear estimation theory which is essential for effective signal processing. In its first part, it gives a comprehensive overview of several key methods like reduced-rank signal processing and Krylov subspace methods of numerical mathematics. Based on the derivation of the multistage Wiener filter in its most general form, 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 communication systems. The investigations include -exact computational complexity considerations and - performance analysis based on extrinsic information transfer charts as well as Monte-Carlo simulations. 232 pp. Englisch.
This item is printed on demand - Print on Demand Titel. 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. This book focuses on the foundations of linear estimation theory which is essential for effective signal processing. In its first part, it gives a comprehensive overview of several key methods like reduced-rank signal processing and Krylov subspace methods of numerical mathematics. Based on the derivation of the multistage Wiener filter in its most general form, 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 communication systems. The investigations include -exact computational complexity considerations and - performance analysis based on extrinsic information transfer charts as well as Monte-Carlo simulations. 232 pp. Englisch.
4
Linear Estimation and Detection in Krylov Subspaces (2007)
DE NWISBN: 9783540684794 bzw. 3540684794, in Deutsch, Springer, Berlin/Heidelberg, Deutschland, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Versandkostenfrei.
Linear Estimation and Detection in Krylov Subspaces ab 131.49 € als pdf eBook: Auflage 2007. Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Technik,.
Linear Estimation and Detection in Krylov Subspaces ab 131.49 € als pdf eBook: Auflage 2007. Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Technik,.
5
Symbolbild
Linear Estimation and Detection in Krylov Subspaces (2010)
DE PB NWISBN: 9783642088032 bzw. 3642088031, in Deutsch, Springer Nov 2010, Taschenbuch, neu.
Von Händler/Antiquariat, Rhein-Team Lörrach Ivano Narducci e.K. [57451429], Lörrach, Germany.
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. This book focuses on the foundations of linear estimation theory which is essential for effective signal processing. In its first part, it gives a comprehensive overview of several key methods like reduced-rank signal processing and Krylov subspace methods of numerical mathematics. Based on the derivation of the multistage Wiener filter in its most general form, 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 communication systems. The investigations include -exact computational complexity considerations and - performance analysis based on extrinsic information transfer charts as well as Monte-Carlo simulations. 232 pp. Englisch.
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. This book focuses on the foundations of linear estimation theory which is essential for effective signal processing. In its first part, it gives a comprehensive overview of several key methods like reduced-rank signal processing and Krylov subspace methods of numerical mathematics. Based on the derivation of the multistage Wiener filter in its most general form, 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 communication systems. The investigations include -exact computational complexity considerations and - performance analysis based on extrinsic information transfer charts as well as Monte-Carlo simulations. 232 pp. Englisch.
6
Linear Estimation and Detection in Krylov Subspaces
DE NW EB DLISBN: 9783540684794 bzw. 3540684794, in Deutsch, Springer Berlin, neu, E-Book, elektronischer Download.
Lieferung aus: Deutschland, Versandkostenfrei.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
7
Linear Estimation and Detection in Krylov Subspaces (2010)
EN NWISBN: 9783642088032 bzw. 3642088031, in Englisch, Springer Berlin Heidelberg, Springer Berlin Heidelberg, Springer Berlin Heidelberg, neu.
Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten, Free Shipping on eligible orders over $25.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
8
Symbolbild
Linear Estimation and Detection in Krylov Subspaces (Foundations in Signal Processing, Communications and Networking)
DE PB NWISBN: 9783642088032 bzw. 3642088031, in Deutsch, Springer, Taschenbuch, neu.
Von Händler/Antiquariat, ExtremelyReliable [8304062], Richmond, TX, U.S.A.
This item is printed on demand.
This item is printed on demand.
9
Linear Estimation and Detection in Krylov Subspaces als eBook von Guido K. E. Dietl, Guido K. E. Dietl (2007)
DE NWISBN: 9783540684794 bzw. 3540684794, in Deutsch, Springer Berlin Heidelberg, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Versandkostenfrei.
Linear Estimation and Detection in Krylov Subspaces ab 131.49 EURO Auflage 2007.
Linear Estimation and Detection in Krylov Subspaces ab 131.49 EURO Auflage 2007.
10
Linear Estimation and Detection in Krylov Subspaces
DE NW EB DLISBN: 9783540684794 bzw. 3540684794, in Deutsch, Springer-Verlag, neu, E-Book, elektronischer Download.
Lieferung aus: Deutschland, E-Book zum Download.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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