2 results for “NLMS”

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Research ArticleOpen accessIn the keywordsImprovement of the Simplified Fast Transversal Filter Type Algorithm for Adaptive FilteringMadjid Arezki, Ahmed Benallal, Daoud BerkaniProblem statement: In this study, we proposed a new algorithm M-SMFTF for adaptive filtering with fast convergence and low complexity. Approach: It was the result of a simplified FTF type algorithm, where the adaptation gain was obtained only from the forward prediction variables and using a new recursive method to compute the likelihood variable. Results: The computational complexity was reduced … …Journal of Computer Science, Vol. 5, Issue 5 · 31 May 2009 · 7,700 accessesView PDF Cite

Research ArticleOpen accessIn the abstractError Vector Normalized Adaptive Algorithm Applied to Adaptive Noise Canceller and System IdentificationZayed RamadanProblem statement: This study introduced a variable step-size Least Mean-Square (LMS) algorithm in which the step-size is dependent on the Euclidian vector norm of the system output error. The error vector includes the last L values of the error, where L is a parameter to be chosen properly together with other parameters in the proposed algorithm to achieve a trade-off … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 4 · 5 Nov 2010 · 8,208 accessesView PDF Cite