自适应线性神经网络实现噪声对消，参数选取不同，效果不同-Adaptive linear neural network to achieve noise cancellation, select different parameters, different results

脑电信号的硬阈值和软阈值去噪算法，是对脑电信号消噪的基本消噪能够成功取得脑电消噪的目的，为脑电信号的特征提取做好充分准备-EEG hard threshold and soft thresholding algorithm is the basic noise cancellation EEG de-noising can successfully achieve the purpose of de-noising EEG, EEG feature extraction is fully pre

自适应滤波器的最小均方误差算法的实现（使用MATLAB），用于system identification和noise cancellation.-MATLAB minimum mean square error of the adaptive filter algorithm for system identification and noise cancellation.

，自适应神经网络噪声抵消系统不需要关于输入信号的先验知识，非线性映射能力强，具有自学习能力、计算量小和实时性好等特点，利用该系统对含噪声的非线性信号建模，可达到消除噪声的目的。-The adaptive neural network noise canceling system does not need prior knowledge about the input signal, strong nonlinear mapping ability, self-learning ability,