paper1

求局部最小值与卷积，lmax为MATLAB的历程 工程里是具体的c函数(Find local minimum and convolution, lmax for the project in the history of MATLAB is the specific function of c)

about spech processing

文章是基于压缩感知理论的测量矩阵的研究。测量矩阵的选择是压缩感知理论的关键点，直接关系到信号重建效果的好坏！(Article is based on the theory of compressed sensing matrix measurement research. Measurement matrix of choice is the key to the theory of compressed sensing point, signal reconstruction is directly related to the effects of good or bad!)

数字水印中Optimal Quincunx Filter Banks的设计源代码及说明，在matlab环境下实现(Digital Watermarking Optimal Quincunx Filter Banks behalf of the design source code and explanations of the environment under Matlab)

this project about the Google ReCaptcha how it will work and all source code will be available in this code

合成孔径雷达成像算法仿真，即一些雷达仿真算法实现(the synthetic aperture radar imaging algorithms)

learning robot implementation

Maximum Likelihood (ML) equalizer for STBC systems

%(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.)

异步电机起动仿真程序（abc坐标系下）两个文件要放在一个文件夹下运行(asynchronous start program)