MATLAB-order

Hello my name is Kev i Coding in the PUFF

matlab中绘图的时候 图形处理的各种技巧 是入门是学习matlab编写m文件用处很大(various techniques in drawing matlab graphics processing time entry is learning to write matlab m file has proved very useful)

将一副彩色图像转为灰度图像，截取部分，并找到质心位置(Centroid calculation of gray image)

个程序就是最基本的粒子群优化算法程序，用Matlab实现，非常简单。是主函数的源程序，优化函数则以m文件的形式放在fitness.m里面，对不同的优化函数只要修改fitness.m就可以了通用性很强。(Procedures is the most basic particle swarm optimization procedures, using Matlab realize, is very simple. Is the main function of the source, optimizing the function with m the form of documents on fitness.m inside, optimized for different functions as long as the modifications can fitness.m highly generic.)

主要是用c语言实现matlab中的fftshift函数的，(Mainly used c language matlab in fftshift function,)

说明：  混沌时序多步预测函数的MATLAB程序,对于研究混沌时间序列的朋友来说是个好程序(Chaos forecast sequential multi-step procedures MATLAB functions for research chaotic time series of friends is a good procedure)

卡尔曼滤波算法和扩展卡尔曼滤波算法在目标跟踪到的应用(Kalman filter and extended Kalman filter algorithm to the application in target tracking)

genetic algorithm to reduce mean squared error in neural network learning process.

此文件中有部分内容，对于初学MATLAB的人有帮助，前俩部分是一些MATLAB的基础操作，第三部分是线性方程数值解的雅克比迭代和高斯—赛德尔迭代的例子，第四部分是Gauss-Legendre积分公式，Newton-Cotes积分公式的俩个数值积分的例子，第五部分是Euler公式、向后Euler公式、改进Euler公式，二阶Runge-Kutta等方法（微分方程数值解）。(The first two parts are basic operations of MATLAB. The third part is examples of Jacobian iteration and Gauss-Seidel iteration of numerical solution of linear equation. The fourth part is examples of Gauss-Legendre integral formula and Newton-Cotes integral formula. The fifth part is Euler formula, backward Euler formula, improved Euler formula, second-order Runge-Kutta method (numerical solution of differential equation).)

说明：  一个自己用的谱聚类算法函数，输入距离矩阵和聚类数，输出类别(Spectral Clustering Method)