A Recursive Least M-Estimate Algorithm for Robust Adaptive Filtering in Impulsive Noise: Fast Algorithm and Convergence Performance Analysis

IEEE Transactions on Signal Processing

Volumn 52, Issue 4, 2004, Pages 975-991

  Chan, Shing Chow ^a   Zou, Yue Xian ^b  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b SINGAPORE POLYTECHNIC   (Singapore)

Author keywords

Adaptive filter; Contaminated Gaussian distribution; Impulsive noise suppression; Lattice structure; Prior Error Feedback Least Square Lattice Algorithm; Recursive least M estimate algorithm; Robust statistics; System identification

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; ELECTRIC FILTERS; GAUSSIAN NOISE (ELECTRONIC); IDENTIFICATION (CONTROL SYSTEMS); IMPULSE NOISE; LEAST SQUARES APPROXIMATIONS;

ADAPTIVE FILTERS; CONTAMINATED GAUSSIAN DISTRIBUTION; IMPULSIVE NOISE SUPPRESSION; LATTICE STRUCTURES; PRIOR ERROR FEEDBACK-LEAST SQUARE LATTICE ALGORITHMS; RECURSIVE LEAST M-ESTIMATE ALGORITHM; ROBUST STATISTICS;

ADAPTIVE FILTERING;

EID: 1842586065     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2004.823496     Document Type: Article

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