Inverse_Laplace2D_yxiao

说明：  （1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 ((1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.)

Companding is essentially a technique for achieving non-uniform quantization. There are basically 2 methods which are most popular in literature.:-A-law companding and u-law companding. These algorithms help in achieving to an extend, compression. The given code shows how to compress a 14-bit code to 8-bit code and its digital implementation using matlab. Please contact by mail if a detailed description of code is needed.

人脸识别简单应用。。。。。。。。。。。。。。。。。。。。。。。(Face simple application. . . . . . . . . . . . . . . . . . . . . . .)

说明：  采用meanshift算法实现图像聚类，函数用matlab实现(clustering using Mean-shift)

这是一份有关matlab开发练习的源程序，希望大家支持下。(This is a practice matlab source development, I hope you will support the next.)

一个非常好的粒子群算法实现，该算法为matlab实现(A very good PSO implementation, the algorithm for the matlab implementation)

用于信号调制的函数，可对自然码和格雷码的性能进行比较。(Function for signal modulation of natural code and gray code)

malab simulator example for robus adaptive control system

canny算子,很有用的一个程序.容易掌握.(a simple and easy algorithm.)

图像处理中：canny算法matlab实现图像的分割(canny algorithm matlab implementation)