Evaluation Of Noise Cancellation Using LMS And NLMS Algorithm

This paper is focused on the adaptive noise cancellation of speech signal using the least mean square LMS and normalized least mean square method NLMS. Adaptive Noise Cancellation is an alternative way of cancelling noise present in a corrupted signal. In this technique evaluation of distorted signal by additive noise or interference achieved with no a priori estimates of signal or noise. A comparative study is carried out using LMS and NLSM methods. Result shows that these methods has potential in noise cancellation and can be used for variety of applications.