Adaptive Noise Cancellation using Least Mean Sqaure Filter Algorithm (Matlab)

Abstract

Adaptive filtering is a wide area of researcher in present decade in the field of communication. Adaptive noise cancellation is an approach used for noise reduction in speech signal. As received signal is continuously corrupted by noise where both received signal and noise signal both changes continuously, then this arise the need of adaptive filtering. This paper deals with cancellation of noise on speech signal using two adaptive algorithms Least Mean Square (LMS) algorithm and Normalized Least Mean Square (NLMS) Algorithm. Choose the algorithms that provide efficient performance with less computational complexity. Keywords :-Adaptive noise cancellation (ANC), Least Mean square (LMS) Algorithm, Adaptive filtering and Normalized Least Mean Square (NLMS).