用于特征降维，特征融合，相关分析等,用MATLAB实现的压缩传感，最终的权值矩阵就是滤波器的系数，包含特征值与特征向量的提取、训练样本以及最后的识别，阵列信号处理的高分辨率估计，借鉴了主成分分析算法（PCA）。- For feature reduction, feature fusion, correlation analysis, Using MATLAB compressed sensing, The final weight matrix is ??the filter coefficient, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, High-resolution array signal processing estimates, It draws on principal component analysis algorithm (PCA).