matlab-LDPC

该程序实现了产生n进制随机符号序列，符号数为len(The realization of the program to generate N binary random sequence of symbols, symbols for len)

this is an example on how to implement an algorythm in matlab. This example use GUI Matlab. It use the grayscale and negation algorythm as algorythm s example.

基于matlab的模糊逻辑方面的国外资料，介绍了如何用matlab实现模糊理论。(The world we live in is becoming ever more reliant on the use of electronics and computers to control the behavior of real-world resources. For example, an increasing amount of commerce is performed without a single banknote or coin ever being exchanged. Similarly, airports can safely land and send off airplanes without ever looking out of a window. Another, more individual, example is the increasing use of electronic personal organizers for organizing meetings and contacts. All these examples share a similar structure multiple parties (e.g., airplanes or people) come together to co-ordinate their activities in order to achieve a common goal. It is not surprising, then, that a lot of research is being done into how a lot of mechanics of the co-ordination process can be automated using computers.)

Tests for KeyManagerFactory</code> class constructors and methods.

一维扩散方程的有限差分数值模拟，采用第三边界条件(The finite difference numerical simulation of one-dimensional diffusion equation adopts third boundary conditions.)

Simple and effective means of clustering any data for which a similarity matrix can be constructed. Does not require similarity matrix meet the standards for a metric. The algorithm applies in cases where the similarity matrix is not symmetric (the distance from point i to j can be different from j to i). And it does not require triangular equalities (e.g. the hypoteneus can be less than the sum of the other sides)

這是一個使用apdaptive bemforming技術，能偵測出jammer在哪兒的源碼。並且比較利用LCMV和LPMV不同之處(This is a apdaptive bemforming the use of technology, able to detect where a jammer source. And compares the difference between LCMV and the LPMV)

manual segmention in matlab

MATLAB排队模型，事实证明这是可行的时有一定的科学依据的(MATLAB query model)

基于主成分分析(PCA)的人脸识别系统 利用2D PCA算法求对训练集向量进行降维的降维矩阵，最近邻法测试对测试集识别的精度(pca face recognition)