Performance of Error Normalized Step Size LMS and NLMS Algorithms: A Comparative Study
نویسندگان
چکیده
This paper presents a Comparative Study of NLMS (Normalized Least Mean Square) and ENSS (Error Normalized Step Size) LMS (Least Mean Square) algorithms. For this System Identification (An Adaptive Filter Application) is considered. Three performances Criterion are utilized in this study: Minimum Mean Square error (MSE), Convergence Speed, the Algorithm Execution Time. The Step Size Parameter (μ) in both algorithms is chosen to obtain the same exact value of Misadjustment (M) equal to 2.5%. Simulation Plots are obtained by ensemble averaging of 200 independent simulation runs.
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