Linear estimation and detection in Krylov subspaces
著者
書誌事項
Linear estimation and detection in Krylov subspaces
（Foundations in signal processing, communications and networking / series editors: W. Utschick, H. Boche, R. Mathar, v. 1）
Springer, c2007
- : hbk
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
Theory: Linear Estimation in Krylov Subspaces.- Efficient Matrix Wiener Filter Implementations.- Block Krylov Methods.- Reduced-Rank Matrix Wiener Filters in Krylov Subspaces.- Application: Iterative Multiuser Detection.- System Model for Iterative Multiuser Detection.- System Performance.- Conclusions.
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