Description: . The normalized least mean square is the most popular due to its simplicity. The stability of the basic NLMS is controlled by a fixed step size. This parameter also governs the rate of convergence, speed of tracking ability and the amount of steady-state excess mean-square error. The main aim of this paper is to reduce the low excess MSE associated with the conventional NLMS, a number of variable step-size NLMS (VSS-NLMS) algorithms have been presented in the past two decades. In this we compare the result with previous one.
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SPEECHX\fwseg_noise.m
.......\fwseg_noise1.m
.......\pearson.m
.......\readme.docx
.......\readme.pdf
.......\SNRLESC.m
.......\SNRloss1.m
.......\snrloss_spcom.pdf
.......\S_03_01.wav
.......\S_03_01_babble_sn0_klt.wav
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