Optimized Variable Step Size Normalized LMS Adaptive Algorithm for Echo Cancellation

Abstract

Abstract-The echo cancallation is rapidly becoming a variable alternative to the conventional method of echo suppression. Echo cancallation using an adaptive filtering algorithm to model the echo path becouse impulse reponse is highly time varing and compute the replica of the echo component present in the speech signal. This research paper, we present the new optimized variable step size normalized least means sqaure algorithmin the context of acoustic echo cancellation. This new algorithm is design in such a way that the step size adjustment is controlled by using the suqaure of the means sqaure error and gives the unique minima of weight vector. New algorithm is suitable for real world application as compared to the old conventional adaptive algorithm.