中文说明：
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！
English Description：
LMS (least mean square): the most basic standard ANC algo FXLMS (filter extended least mean square): add an additional learning filter to the auxiliary path signal (signal from the elimination speaker to the user's ear) to explain the phase problem and the mean square of audio coloring added during the actual noise elimination application of NLMS (normalized least mean square) Squares): Based on LMS, a simple adaptive update learning rate is added to accelerate the convergence speed. Fxnlms (normalized filter extended least mean square): combines FXLMS and NLMS funlms (filter u last mean square): adds an additional active LMS filter to fxnlms to eliminate the noise leakage from the elimination speaker to the wrong microphone. Quite robust, but not bloated!