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GUI program that runs in Matlab and allows the user to draw polygons or boxes around multidimensional data points. This clustering of data is used often for multi-electrode recordings of neural data. The program has been tested on Windows, Linux, and Mac platforms.

a photovoltaic array model that is simulated in Matlab/simulink

vc++ 与matlab图像处理与识别案例精选(vc++ with matlab image processing and recognition of cases selected)

才用周期图法预测hurst指数。参数sequence为时间序列，isplot说明是否需要画图。(Have used the periodogram forecast hurst index. Parameter sequence for the time series, isplot explain the need for drawing.)

该实例程序的作用是奇异值分解，输入预进行奇异值分解的矩阵，便可以直接运行(The sample program is the role of singular value decomposition, the singular value decomposition of the input pre-matrix, we can run)

说明：  用谱方法解Kuramoto-Sivashinsky 方程matlab编程(Matlab programming of solving Kuramoto-Sivashinsky equation with spectrum method)

一杯沸水冷却，圆柱体模型，底面半径0.05m，高0.1m，周围温度20度，初始水温100度 方程是四维输运方程（常数a^2=k/(c*p)，k是热传导系数0.6006焦/（米*秒*度）） 初始条件：t=0时水等于100度 边界条件：1.上下壁都是自由冷却，第三类边界条件，周围温度保持在20度（H=k/h,h取1） 2.杯壁绝热，第二类边界条件 图形显示格式,取过圆柱轴的截面温度变化将其做成动画. (A cup of boiling water for cooling, the cylinder model, the bottom radius of 0.05m, the high-0.1m, an ambient temperature of 20 degrees, the initial water temperature of 100 degrees is four-dimensional transport equation equation (constant a ^ 2 = k/(c* p), k is the thermal conductivity coefficient of 0.6006 J/(m* s* degrees)) initial conditions: t = 0 when the water equivalent to 100 degrees boundary conditions: 1. up and down the wall are free cooling, the third boundary condition, the ambient temperature maintained at 20 degrees (H = k/h, h check one) 2.杯壁insulation, the second boundary condition graphical display format, check-off section of cylindrical shaft temperature change to make animation.)

matlab实现jpeg压缩，源码实现，针对黑白图像。(the realization of jpeg compression matlab)

说明：  不错的遗传算法实例（别处搜集的，希望对大家有用，在此感谢原创）(Good examples of genetic algorithms (collected elsewhere, we hope to be useful, would like to thank the original))

This is a good implementation of brain cancer on matlab