ADAPTIVE HAMMERSTEINNORMALIZED LEAST-MEAN SQUARE FILTERIN

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KAHAEI M.H.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE (ENGLISH) Year:2003 | Volume:14 | Issue:1 Page(s): 171-180

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Information Journal Paper

Title

ADAPTIVE HAMMERSTEINNORMALIZED LEAST-MEAN SQUARE FILTERIN

Author(s)

KAHAEI M.H. | Issue Writer Certificate

Keywords

HAMMERSTEIN SERIESQ4

NLMS ALGORITHMQ4

OPTIMAL STEP-SIZE PARAMETERQ4

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.

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APA: Copy

KAHAEI, M.H.. (2003). ADAPTIVE HAMMERSTEINNORMALIZED LEAST-MEAN SQUARE FILTERIN. INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE (ENGLISH), 14(1), 171-180. SID. https://sid.ir/paper/52569/en

Vancouver: Copy

KAHAEI M.H.. ADAPTIVE HAMMERSTEINNORMALIZED LEAST-MEAN SQUARE FILTERIN. INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE (ENGLISH)[Internet]. 2003;14(1):171-180. Available from: https://sid.ir/paper/52569/en

IEEE: Copy

M.H. KAHAEI, “ADAPTIVE HAMMERSTEINNORMALIZED LEAST-MEAN SQUARE FILTERIN,” INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE (ENGLISH), vol. 14, no. 1, pp. 171–180, 2003, [Online]. Available: https://sid.ir/paper/52569/en

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