Comparative Study of Different Algorithms for the Design of Adaptive Filter for Noise Cancellation
نویسندگان
چکیده
The main goal of this paper is to study and to compare the performance of different adaptive filter algorithms for noise cancellation. Adaptive noise cancellation method is used for estimating a speech signal which is corrupted by an additive noise. The reference input containing noise is adaptively filtered and subtracted from the primary input signal to obtain the de-noised signal. The desired signal which is corrupted by an additive noise can be recovered by an adaptive noise canceller using Least Mean Square (LMS) algorithm, Data Sign algorithm, Leaky LMS algorithm and constrained LMS algorithm. A performance comparison of these algorithms based on Signal to Noise Ratio(SNR) is carried out using MATLAB. Keywords-Adaptive Filter, Adaptive algorithms, MATLAB, Noise cancellation System, SNR
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