Reduced-Rank Adaptive Filtering Using Krylov Subspace

Reduced-Rank Adaptive Filtering Using Krylov Subspace

<p/> <p>A unified view of several recently introduced reduced-rank adaptive filters is presented. As all considered methods use Krylov subspace for rank reduction, the approach taken in this work is inspired from Krylov subspace methods for iterative solutions of linear systems. The alte...

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Bibliographic Details
Main Authors: Burykh Sergue&#239;, Abed-Meraim Karim
Format: Article
Language:English
Published: SpringerOpen 2002-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
adaptive filters
reduced-rank adaptive filters
multiuser detection
array processing
Krylov subspace methods
Online Access:http://dx.doi.org/10.1155/S1110865702209129

Internet

http://dx.doi.org/10.1155/S1110865702209129

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