Steady-state and tracking analysis of a robust adaptive filter with low computational cost

Soria-Olivas  E; Martin-Guerrero  JD; Serrano-Lopez  AJCalpe-Maravilla  JChambers  J

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Steady-state and tracking analysis of a robust adaptive filter with low computational cost

机译：Steady-state and tracking analysis of a robust adaptive filter with low computational cost

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This paper analyses a new adaptive algorithm that is robust to impulse noise and has a low computational load E. Soria, J.D. Martin, A.J. Serrano, J. Calpe, and J. Chambers, A new robust adaptive algorithm with low computacional cost, Electron. Lett. 42 (1) (2006) 60-62. The algorithm is based on two premises: the use of the cost function often used in independent component analysis and a fuzzy modelling of the hyperbolic tangent function. The steady-state error and tracking capability of the algorithm are analysed using conservation methods A. Sayed, Fundamentals of Adaptive Filtering, Wiley, New York, 2003, thus verifying the correspondence between theory and experimental results. (c) 2006 Elsevier B.V. All rights reserved.

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《Signal Processing: The Official Publication of the European Association for Signal Processing (EURASIP)》 |2007年第26期|210-215|共6页
作者
Soria-Olivas E; Martin-Guerrero JD; Serrano-Lopez AJCalpe-Maravilla JChambers J;
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作者单位

Univ Valencia, Dept Elect Engn, Digital Signal Proc Grp, E-46003 Valencia, Spain;

Univ Cardiff Wales, Sch Engn, Ctr Digital Signal Proc, Cardiff, Wales;

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正文语种英语
中图分类通信;
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robust adaptive filter; steady-state analysis; tracking capability; low computational cost; ALGORITHM;

Steady-state and tracking analysis of a robust adaptive filter with low computational cost

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