求解常规偏微分方程的MATLAB程序pdebc

说明：  in this matlab code we have used a new technique for imge processing -segmentation-

key material for engeering mathmatics!(key material for engeering mathmatics.)

该代码为多频外差四频相移的原理程序，开发环境为MATLAB,可以帮助初学者快速了解外差法的原理。(The code on multiple frequency heterodyne principle of four frequency phase shift process, development environment of MATLAB, can help beginners to quickly understand the heterodyne principle. )

说明：  皮肤探测，在matlab下实现 利用HSI颜色来探测皮肤位置，在人物图片中已经做了大量测试(skin detection, the use of Matlab under HSI color of the skin to detect location, pictures of the characters have done a lot of testing)

Evaluates the theoretical probability of error for a 2PAM system in AWGN channels under the Standard Gaussian Approximation

NW小世界网络的构成原则为：从一个环状的规则网络开始，网络含有N个结点，每个结点向与它最近邻的K个结点连出K条边，并满足N>>K>>In(N)>>1。随后进行随机化加边，以概率p在随机选取的一对节点之间加上一条边。其中，任意两个不同的节点之间至多只能有一条边，并且每一个节点都不能有边与自身相连。改变p值可以实现从最近邻耦合网络(p=0)向全局耦合网络(p=1)转变。在p足够小和N足够大时，NW小世界模型本质上等同于WS小世界模型。 (NW constitutive principles of small-world networks: from the rules of a ring network, network with N nodes, each node is connected to the K node with its nearest neighbor K edges, and meet N > > K > > In (N) > > 1. Followed by randomization into the plus side, with probability p with an edge between a pair of nodes in a randomly selected. Wherein between any two different nodes at most only one edge, and each node can not have a side connected with itself. P value can be changed to achieve the transition from the nearest neighbor coupling network (p = 0) coupled to the global network (p = 1). When p is small enough and large enough N, NW small-world model is essentially the same as the WS small-world model.)

gps RINEX数据文件读取，进行数据解算计算，得到适合的星历信息(gps RINEX DATA READ)

SOM算法,matlab程序,是经典的教科书的例子程序,不错的源码(SOM algorithm, matlab program, is a classic textbook examples of procedures, good source)

MATLAB写的拖拉机游戏，有志学习MATLAB的请进(Written in MATLAB tractor games, who are interested to learn MATLAB to Come)

The Wavelet Neural Network This is simple example for using of modified Morlet neural network. Levenberg-Marquardt with numerical Jacobian calculation implemented. Easy to use with other optimization algorithem e.g GA,PSO, etc. The function "xox_lm" may be useful for other optimization problem easily. The function "xox_jacobian" may be useful for Jacobian calculation easily. The function "NN_fcn" may be used by the evolutionary based neural network. The activation function "modified Morlet" will be replaceable by others.