Paper Information

Journal:   INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE (ENGLISH)   Winter 2003 , Volume 14 , Number 1; Page(s) 171 To 180.
 
Paper: 

ADAPTIVE HAMMERSTEINNORMALIZED LEAST-MEAN SQUARE FILTERIN

 
 
Author(s):  KAHAEI M.H.
 
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Abstract: 
While the Hammerstein expression is computationally attractive for modeling of nonlinear systems, the optimal calculation of filter coefficients is practically cumbersome. A proper solution to this problem is the use of adaptive algorithms. In this paper, the Hammerstein Normalized LMS algorithm is proposed by deriving the corresponding time varying optimal step-size parameter in a closed form. The convergence behavior of this algorithm is inspected using computer simulations. The results show that the proposed algorithm achieves a faster convergence speed compared to the Hammerstein LMS algorithm, practically at the cost of an acceptable increase in computations.
 
Keyword(s): HAMMERSTEIN SERIES, NLMS ALGORITHM, OPTIMAL STEP-SIZE PARAMETER
 
References: 
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