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Linear Estimation and Detection in Krylov Subspaces

Guido Dietl

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ISBN 10: 3540684786 / ISBN 13: 9783540684787
Published by Springer-Verlag Gmbh Jul 2007, 2007
New Condition: Neu
From Agrios-Buch (Bergisch Gladbach, Germany)

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Neuware - 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 communications systems. 232 pp. Englisch. Bookseller Inventory # 9783540684787

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Bibliographic Details

Title: Linear Estimation and Detection in Krylov ...

Publisher: Springer-Verlag Gmbh Jul 2007

Publication Date: 2007

Binding: Buch

Book Condition:Neu

About this title

Synopsis:

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.

From the Back Cover:

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.

"About this title" may belong to another edition of this title.

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