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说明：  RANSAC的MATLAB工具包，MATLAB下实现了多种SAC算法(GML RANSAC Matlab Toolbox v 0.1)

采用稀疏表示能够实现N类M个人脸的正常识别(Using sparse representation can be achieved Class N M individual normal face recognition)

本程序实现1D声波正演，擦用Clyton单程波吸收边界条件。(This program implements 1D acoustic wave equation, rub with Clayton one-way wave absorbing boundary condition)

黄锷论文中EMD和HHT的源程序，已经打包压缩,解压后可以使用(Wong Ngok paper on EMD and HHT source, has been packaged compression, decompression can be used after)

惯导捷联式平台的应用，通过此平台来仿真计算星体的位置，各种姿态。(INS strapdown platform applications, simulation through this platform to the position of the stars, the various postures.)

关于严格耦合波发分析光栅等的相关matlab仿真(About rigorous coupled-wave analysis of hair and other related grating matlab simulation)

1.同时对多个光谱数据进行一阶导数计算，并保存在元胞数组中。2.对光谱数据进行取均值，每三个列为一组。(At the same time, the first derivative of multi-spectral data is calculated and stored in the cell array.The spectral data are averaged and divided into three groups.)

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)

基于matlab的2fsk,2psk方仿真(Matlab-based 2fsk, 2psk party simulation)

比较能快速入门的一些经典算法.可以在较短时间内迅速学会matlab(matlab code)