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运用传输矩阵法计算一维光子晶体不同周期对带隙的影响(use TTM calculating the effects of N for PBG)

用Matlab实现简单的原图片在二值化下的人脸检测以及网络表格标记图像(Using Matlab achieve a simple binary original picture in the next face detection, and network forms Tagged Image)

说明：  MainGA12.m是主文件，其余两个是被调用文件。 MainGA12.m里主要设置有关参数。(Mainga12.m is the main file, and the other two are called files..Mainga12.m mainly sets the relevant parameters.)

findEnergy.m 计算出图像的梯度图 findSeamImg.m 计算出所有可能的竖直缝 findSeam.m找出能量最小的一条竖直缝 removalMap.m将需要删除的N条竖直缝存储起来并按照索引逐条删除 SeamCut.m将选中的缝一条条的删除 SeamPlot.m在图中画出要删除的缝 Testseam.m调用以上函数的主程序(FINDENERGY creates an gradient img from a given RGB or grayscale image. FINDSEAMIMG finds the seam map from which the optimal (vertical running) seam can be calculated. FINDSEAM returns a column vector of coordinates for the pixels to be removed (the seam). SEAMPLOT takes as input an image and the SeamVector array and produces an image with the seam line superimposed upon the input image, x, for display purposes. SEAMCUT takes as input a RGB or grayscale image and SeamVector array to find the pixels contained in the seam, and to remove them from the image. REMOVALMAP takes a given image and finds the ordered set of (vertical) seams that are removed from an image and returns them in an array, where the Nth column in the array corresponds to the Nth seam to be removed.)

基于matlab的BPSK的高斯白噪声调制解调 相信对大家有用(Based on matlab for BPSK modulation and demodulation of Gaussian white noise, I believe for all of us)

matlab仿真esprit算法，ls算法，随信噪比变化生成均方差变化的图像。(matlab simulation esprit algorithm, ls algorithm to generate the variance changes with SNR change image.)

用于隐藏向量分析的软件包及源码。独立成分分析算法的最新进展。( This Matlab package handles LiNGAM models with latent variables. The package contains the full code for all the experiments )

matlab demo code .. .. .. ..

神经网络迭代法，数据量不大，用于图像压缩(Neural network iteration method, the data volume is not large, used for image compression)

本文介绍了VC++与MATLAB联合编程的几中方法，并重点介绍了DLL方法(This article describes the joint VC++ and MATLAB programming in several ways, and highlight the DLL method)