Matlab-Noise-Reduction
代码说明：
说明： LMS (Least Mean Squares): most basic canonical ANC algo FxLMS (Filtered eXtended Least Mean Squares): adds an additional learned filter for the secondary path signal - signal from cancellation speakers to users ears - to account for phase problems and audio coloration added during practical noise cancellation applications NLMS (Normalized Least Mean Squares): adds simple adaptively updated learning rate on top of LMS to speed convergence. FxNLMS (Normalized Filtered eXtended Least Mean Squares): combines FxLMS and NLMS FuNLMS (Filtered-u Last Mean Squares): adds an additional active LMS filter to FxNLMS to cancel out noise bleeding from the cancellation speaker to the error mic. Fairly robust but convergence not gaurunteed!
文件列表：
Matlab-Noise-Reduction\FuNLMS2_mss.m, 4008 , 2016-11-27
Matlab-Noise-Reduction\FuNLMS_mss.m, 2796 , 2016-11-27
Matlab-Noise-Reduction\FxLMS_mss.m, 3463 , 2016-11-27
Matlab-Noise-Reduction\FxNLMS_mss.m, 3508 , 2016-11-27
Matlab-Noise-Reduction\LMS_mss.m, 3111 , 2016-11-27
Matlab-Noise-Reduction\NLMS_mss.m, 2884 , 2016-11-27
Matlab-Noise-Reduction, 0 , 2019-01-22
Matlab-Noise-Reduction\FuNLMS.m, 2796 , 2016-11-27
Matlab-Noise-Reduction\FxLMS.m, 3463 , 2016-11-27
Matlab-Noise-Reduction\FxNLMS.m, 3508 , 2016-11-27
Matlab-Noise-Reduction\LMS.m, 3111 , 2016-11-27
Matlab-Noise-Reduction\NLMS.m, 2884 , 2016-11-27
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