. 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.