| Description |
1 online resource (xvii, 232 pages) : illustrations |
| Series |
Foundations in signal processing, communications and networking. Preliminary entry ; v. 1 |
|
Foundations in signal processing, communications and networking. Preliminary entry ; v. 1
|
| Contents |
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 |
| Summary |
"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."--Jacket |
| Bibliography |
Includes bibliographical references and index |
| Notes |
English |
|
Print version record |
| In |
Springer e-books |
| Subject |
Signal processing -- Mathematics
|
|
COMPUTERS -- Information Theory.
|
|
TECHNOLOGY & ENGINEERING -- Signals & Signal Processing.
|
|
Signal processing -- Mathematics.
|
|
Ingénierie.
|
|
Signal processing -- Mathematics
|
| Form |
Electronic book
|
| LC no. |
2007928954 |
| ISBN |
9783540684794 |
|
3540684794 |
|
9783540684787 |
|
3540684786 |
|
