Linear Estimation and Detection in Krylov Subspaces [electronic resource] /by Guido K.E. Dietl.
by Dietl, Guido K.E [author.]; SpringerLink (Online service).
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BookSeries: Foundations in Signal Processing, Communications and Networking: 1Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.Description: XIX, 232 p. 53 illus. online resource.ISBN: 9783540684794.Subject(s): Engineering | Computer science | Statistics | Engineering mathematics | Engineering | Signal, Image and Speech Processing | Computational Science and Engineering | Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences | Math Applications in Computer Science | Appl.Mathematics/Computational Methods of EngineeringDDC classification: 621.382 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| TA1637-1638 (Browse shelf) | Available | ||||
| TK7882.S65 (Browse shelf) | Available | ||||
| Long Loan | MAIN LIBRARY | TK5102.9 (Browse shelf) | Available |
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| TK7882.S65 High-Dynamic-Range (HDR) Vision | TK7882.S65 Springer Handbook of Speech Processing | TK7882.S65 An Interactive Multimedia Introduction to Signal Processing | TK7882.S65 Linear Estimation and Detection in Krylov Subspaces | TK7882.S65 Speech and Audio Processing in Adverse Environments | TK7882.S65 Three-Dimensional Television | TK7882.S65 Digital Signal Processing with Field Programmable Gate Arrays |
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.
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.
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