Name
Title | ||
|---|---|---|
Steady-state and tracking analysis of a robust adaptive filter with low computational cost |
Abstract | ||
|---|---|---|
This paper analyses a new adaptive algorithm that is robust to impulse noise and has a low computational load [E. Soria, J.D. Martín, 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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.sigpro.2006.08.009 | Signal Processing |
Keywords | Field | DocType |
hyperbolic tangent function,robust adaptive filter,low computacional cost,j. calpe,new adaptive algorithm,cost function,j. chambers,low computational load,new robust adaptive algorithm,low computational cost,adaptive filtering,j. serrano,steady state analysis,adaptive filter,independent component analysis,impulse noise,steady state | Control theory,Fuzzy modelling,Independent component analysis,Adaptive filter,Impulse noise,Adaptive algorithm,Steady state,Hyperbolic tangent function,Mathematics,Computational complexity theory | Journal |
Volume | Issue | ISSN |
87 | 1 | Signal Processing |
Citations | PageRank | References |
5 | 0.53 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emilio Soria-Olivas | 1 | 319 | 42.10 |
| José D. Martín-Guerrero | 2 | 241 | 25.60 |
| Antonio J. Serrano-López | 3 | 42 | 7.92 |
| Javier Calpe-Maravilla | 4 | 92 | 11.69 |
| Jonathon Chambers | 5 | 5 | 0.53 |