New Method of LMS Variable Step-Size Formulation for Adaptive Noise Cancellation

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dc.contributor.authorAbdulKabir, A. A.
dc.contributor.authorAibinu, A. M.
dc.contributor.authorOnwuka, E. N.
dc.contributor.authorSalami, Momoh-Jimoh E.
dc.date.accessioned2019-10-16T13:41:16Z
dc.date.available2019-10-16T13:41:16Z
dc.date.issued2013
dc.description.abstractLeast mean square (LMS) is a widely used steepest descent algorithm known with efficient tracking ability of small mean square error (MSE) but with low convergence speed. In contract to the fixed step size, variable step size was introduced to improve the convergence speed while maintaining the minimal MSE. In this work, a new method was formulated to determine the variable step size of the LMS algorithm. Simulation results are presented to support the experimental analysis for the performance evaluation and comparison. Result reveals that the performance the of new formulated variable step size algorithm is better compare to the conventional LMS algorithm.en_US
dc.identifier.citationAbdulKabir, A. A., Aibinu, A. M., Onwuka, E. N., & Salami, M. J. E. (2013). New Method of LMS Variable Step-Size Formulation for Adaptive Noise Cancellation.en_US
dc.identifier.urihttp://repository.elizadeuniversity.edu.ng/handle/20.500.12398/545
dc.language.isoenen_US
dc.subjectLMS Variableen_US
dc.subjectStep-Size Formulationen_US
dc.subjectAdaptive Noise Cancellationen_US
dc.titleNew Method of LMS Variable Step-Size Formulation for Adaptive Noise Cancellationen_US
dc.typeArticleen_US
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