matlab-program

HNM document to perform harmonics in noise

神经网络理论与MATLAB7实现，对一些算法进行了实现，(Neural Network Theory and MATLAB7 achieved, a number of algorithms to achieve,)

Implementation of filter

人脸识别matlab程序，yyale人脸库上实现，三阶近邻法 (Face recognition matlab program the yyale face database, the third-order nearest neighbor method)

基于matlab的加性高斯白噪声 源代码 直接用软件打开即可(Matlab-based additive white Gaussian noise)

%(第一步加载原始数据并绘图)m文件保存代码;而mat文件保存工作区里面已经加载或计算好的数据 %当前文件夹显示的路径一定要是保存数据和保存代码的文件夹 %“relt”是包含分解结果的矩阵，第一列是原始输入（“gsta（：，2）”），最后一列是趋势。 中间是IMF频率从高到低。 %应该注意的是，由于在eemd.m中，IMF的总数m被指定为log2（N）-1，在某些情况解的线条进行了合并 %因此会比实际分解得到的减少，但在计算周期和表现显著性的时候要将每个模态的周期和显著性计算在内。((The first step is to load the original data and draw) m file saves the code; the mat file saves the data already loaded or calculated in the workspace %% the current folder displays a path that must store data and save the code folder. %"relt" is the matrix that contains the decomposition result, the first column is the original input ("gsta (:, 2)"), and the last column is the trend. The middle is the IMF frequency from high to low. It should be noted that since the total number m of IMFs in eemd. m is specified as log2 (N) - 1, the lines of the solution are merged in some cases % will therefore be less than the actual decomposition, but the period and salience of each mode will be taken into account when calculating the period and performance saliency.)

MATLAB控制系统仿真与实例详解,包括第五章到第十二章的所有源代码(Control System Simulation with MATLAB example explanation, including the fifth chapter to chapter XII of all source code)

最小二乘算法相关，自适应波束形成，最小均方算法。(Related least squares algorithm, adaptive beamforming, least mean square algorithm.)

稀疏编码matlab源代码 论文：Efficient sparse coding algorithms(SPARSE CODING+CODE SPARSE CODING+CODE SPARSE CODING+CODE)

nose cancellation releted