DocumentCode
1736475
Title
Sparse RLS adaptive filter with diagonal loading
Author
Zakharov, Yuriy ; Nascimento, Vitor H.
Author_Institution
Dept. of Electron., Univ. of York, York, UK
fYear
2012
Firstpage
806
Lastpage
810
Abstract
In this paper, we propose an adaptive algorithm for sparse identification. The algorithm is based on diagonal loading, reweighting, and coordinate descent iterations. Simulation results show that the algorithm has performance close to the performance of the oracle RLS algorithm with perfect knowledge of the support and yet has as low complexity as O(N) operations per sample, where N is the filter length.
Keywords
adaptive filters; computational complexity; iterative methods; Oracle RLS algorithm; adaptive algorithm; complexity; coordinate descent iteration; diagonal loading; filter length; reweighting; sparse RLS adaptive filter; sparse identification; Adaptive filter; DCD algorithm; FPGA; RLS; diagonal loading; dichotomous coordinate descent; reweighting; sparse representation;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
978-1-4673-5050-1
Type
conf
DOI
10.1109/ACSSC.2012.6489125
Filename
6489125
Link To Document