Please use this identifier to cite or link to this item:
http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/545
Title: | New Method of LMS Variable Step-Size Formulation for Adaptive Noise Cancellation |
Authors: | AbdulKabir, A. A. Aibinu, A. M. Onwuka, E. N. Salami, Momoh-Jimoh E. |
Keywords: | LMS Variable Step-Size Formulation Adaptive Noise Cancellation |
Issue Date: | 2013 |
Citation: | AbdulKabir, 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. |
Abstract: | Least 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. |
URI: | http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/545 |
Appears in Collections: | Research Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
New Method of LMS Variable Step-Size Formulation for Adaptive Noise Cancellation.pdf | Article full-text | 612.3 kB | Adobe PDF | View/Open |
Items in EUSpace are protected by copyright, with all rights reserved, unless otherwise indicated.