A robust recursive least square algorithm against impulsive noise

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In this paper, we propose a robust adaptive algorithm for impulsive noise suppression. The perturbation of the input signal as well as the perturbation of the estimation error are restricted by M-estimation. The threshold used in M-estimation is obtained from the proposed adaptive variance estimation. Simulations show that the proposed algorithm is less vulnerable to the impulsive noise than the conventional algorithm.
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Issue Date
2004-09
Language
English
Article Type
Letter
Keywords

FORGETTING FACTOR; SPEECH ANALYSIS

Citation

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v.E87A, no.9, pp.2463 - 2465

ISSN
0916-8508
URI
http://hdl.handle.net/10203/255894
Appears in Collection
GT-Journal Papers(저널논문)
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