LMS（最小均方）：最基本的标准ANC algo FxLMS（滤波扩展最小均方）：为辅助路径信号（从消除扬声器到用户耳朵的信号）添加一个额外的学习滤波器，以说明相位问题和在实际噪声消除应用NLMS（标准化最小均方）期间添加的音频着色均方（Mean Squares）：在LMS的基础上增加简单的自适应更新学习率，加快收敛速度。FxNLMS（归一化滤波扩展最小均方）：结合FxLMS和NLMS FuNLMS（滤波u最后均方）：向FxNLMS添加一个额外的有源LMS滤波器，以消除从消除扬声器到错误麦克风的噪声泄漏。相当健壮，但不臃肿！
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!
资源文件列表
Matlab-Noise-Reduction/FuNLMS2_mss.m , 4008
Matlab-Noise-Reduction/FuNLMS_mss.m , 2796
Matlab-Noise-Reduction/FxLMS_mss.m , 3463
Matlab-Noise-Reduction/FxNLMS_mss.m , 3508
Matlab-Noise-Reduction/LMS_mss.m , 3111
Matlab-Noise-Reduction/NLMS_mss.m , 2884
Matlab-Noise-Reduction/FuNLMS.m , 2796
Matlab-Noise-Reduction/FxLMS.m , 3463
Matlab-Noise-Reduction/FxNLMS.m , 3508
Matlab-Noise-Reduction/LMS.m , 3111
Matlab-Noise-Reduction/NLMS.m , 2884