BreedPSO

这是国外用的研究分岔的完整的M程序，很有用，属再版的(This is a study abroad with a complete bifurcation of M procedures, very useful, is a reprint of)

基于马尔科夫随机场的图像分割matlab源码。包括ICM迭代条件模式求解最大后验概率算法。(based on the Markov random field image segmentation Matlab source. ICM conditions including iterative model for the largest posterior probability algorithm.)

matlab的学习资料，非常好！老师给我推荐的，用这个学习很方便的~(the Matlab learning information is very good! Teacher recommended to me, learning is very convenient ~~)

用MATLAB写的宽度优先搜索函数，支持障碍设置和四叉树/八叉树的选择，在路径搜索方面有用。(First search function using MATLAB written in width, support the obstacles set up and quadtree/octree useful in terms of route search.)

用镜像延拓法处理端点效应，通过信号极值点的信息来获得信号端点之外的极值点信息。(Continuation method using image processing endpoint effect, through the extreme points of the information signal to obtain signal the endpoint of the extremal points outside information.)

说明：  计算具有散射吸特性的介质中的2维的辐射传输方程(Calculation of two dimensional radiative transfer equation)

基于滑模变结构的混沌系统的带有饱和函数的反同步代码，同时包括绘制相图和时域图的代码。(Sliding mode variable structure chaotic systems with saturation function based on inverse synchronous code, including drawing phase diagram and time domain chart code.)

WhitePaper_Matlab_Simulink_&_EB_Simtools_Ford Motor, whitePaper_Matlab_Simulink_&_EB_Simtools_Ford Motor, WhitePaper_Matlab_Simulink_&_EB_Simtools_Ford Motor.

设计一维纳滤波器 (1). 产生三组观测数据：首先根据S(n)=aS(n-1)+w(n)产生信号S(n)，将其加噪声(信噪比分别为20db，10db，6db)，得到观测数据X1(n)，X2(n)，X3(n)。. (2). 估计Xi(n)，i=1，2，3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L，N对实验结果的影响。(Design a Wiener filter (1) produces three sets of observations: First, according to S (n) = aS (n-1)+ w (n) generates the signal S (n), to add noise (SNR are 20db, 10db, 6db ), obtained observational data X1 (n), X2 (n), X3 (n). . (2) estimated Xi (n), i = 1,2,3 of the AR model parameters. Assuming the signal length L, AR model order N, the analysis of experimental results, and discuss the changes in L, N to the experimental results.)

支持向量机的代码。可以仿真支持向量机的效果图(support vector machine code. Simulation can support vector machines map results)