Adaptive noise cancellation using LMS algorithm in Monte Carlo simulation

This brief presents the concept of adaptive noise cancellation using LMS algorithm. The method uses a “primary input” containing the corrupted signal and a “reference input” containing noise correlated in some unknown way with the primary noise. The reference input is adaptively filtered and subtracted from the primary input to obtain the signal estimate. Extensive Monte Carlo Simulation is carried out and the results are presented using MATLAB.