Adaptive Noise Cancellation using Modified Normalized Least Mean Square Algorithm

This paper presents an efficient design of Adaptive filters which uses enhanced NLMS algorithm for eliminating noise added by mean of various communication media or any other noise sources. By using the appropriate weights, Adaptive filter estimates and remove the estimated noise signal from the available information. LMS and Normalized LMS are two most efficient algorithm for noise cancelation. Normalized form of LMS algorithm is considered more effective as it normalizes with the power of the input. The concept of memory preallocation for variables has been introduced to enhance the computational speed of filtering system. The proposed algorithm is successfully implemented using M Code and performance measures like SNR and MSE are calculated for varying step size and filter order. The SNR value ranges from 8.26 dB to 7.22 dB and MSE ranges from 0.087 to 0.1173.