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A robust recursive least squares algorithm

DSpace at IIT Bombay

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Title A robust recursive least squares algorithm
 
Creator CHANSARKAR, MM
DESAI, UB
 
Subject adaptive equalization
error propagation
 
Description A new algorithm is developed, which guarantees the normalized bias in the weight vector due to persistent and bounded data perturbations to be bounded, Robustness analysis for this algorithm has been presented, An approximate recursive implementation is also proposed. It is termed as the robust recursive least squares (RRLS) algorithm since it resembles the RLS: algorithm in its structure and is robust with respect to persistent hounded data perturbation. Simulation results are presented to illustrate the efficacy of the RRLS algorithm.
 
Publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
 
Date 2011-07-31T18:45:18Z
2011-12-26T12:53:06Z
2011-12-27T05:40:15Z
2011-07-31T18:45:18Z
2011-12-26T12:53:06Z
2011-12-27T05:40:15Z
1997
 
Type Article
 
Identifier IEEE TRANSACTIONS ON SIGNAL PROCESSING, 45(7), 1726-1735
1053-587X
http://dx.doi.org/10.1109/78.599942
http://dspace.library.iitb.ac.in/xmlui/handle/10054/8201
http://hdl.handle.net/10054/8201
 
Language en