Hammerstein Spline Adaptive Filtering based on Least Mean Square Algorithm
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Abstract
This paper presents the Hammerstein-spline adaptive filtering based on least mean square algorithm. The properties and structure of proposed Hammerstein-spline adaptive filtering is considered with the conventional least mean square algorithm, which can converge to optimum values. The basic theory of Hammerstein-spline adaptive filtering based on adaptive least mean square algorithm is presented. Experimental results depict that the proposed Hammerstein-spline adaptive filtering based on adaptive least mean square algorithm can reduce the estimated error rate of proposed Hammerstein-spline adaptive filtering based on adaptive least mean square algorithm.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright @2021 Engineering Transactions
Faculty of Engineering and Technology
Mahanakorn University of Technology
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