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Split PML 3D FDTD open source

这是有关Matlab的一些电子教案或课件，对于学习Matlab的来将非常有帮助(This is the Matlab lesson plans or the number of electronic courseware for learning Matlab)

说明：  matlab混合编程（书中程序）第二章 (matlab mixed programming (program book) Chapter II)

通过仿真实现同步电机模型，在MATLAB环境下实现(Achieve synchronous motor model by simulation in MATLAB environment to achieve)

说明：  1-32是：图形应用篇 33-66是：界面设计篇 67-84是：图形处理篇 85-100是：数值分析篇(1-32 : the application of graphics 33-66 : graphics interface design 67-84 : graphics processing 85-100: Numerical Analysis )

确定信号和非确定信号的产生，各种滤波器的设计，对信号的频谱分析，滤波后信号的频谱分析等功能。有利于信号与系统、数字信号处理相关课程的学习与理解(Determine the signal and non-deterministic signal generation, a variety of filter design, spectral analysis of the signal, filtered signal spectrum analysis functions. Favorable signals and systems, digital signal processing related courses of study and understanding)

Instructions for installing the Genetic Algorithm Toolbox can be found in the MATLAB installation instructions. It is recommended that the files for this toolbox are stored in a directory named genetic off the main matlab/toolbox directory

为sinudoidal模型的AIC阶估计.AIC信息准则即Akaike information criterion，是衡量统计模型拟合优良性的一种标准，又由于它为日本统计学家赤池弘次创立和发展的，因此又称赤池信息量准则。它建立在熵的概念基础上，可以权衡所估计模型的复杂度和此模型拟合数据的优良性。 在一般的情况下，AIC可以表示为： AIC=2k-2ln(L) 其中：k是参数的数量，L是似然函数。 假设条件是模型的误差服从独立正态分布。 让n为观察数，RSS为剩余平方和，那么AIC变为： AIC=2k+nln(RSS/n) 增加自由参数的数目提高了拟合的优良性，AIC鼓励数据拟合的优良性但是尽量避免出现过度拟合(Overfitting)的情况。所以优先考虑的模型应是AIC值最小的那一个。赤池信息准则的方法是寻找可以最好地解释数据但包含最少自由参数的模型。(AIC order estimation for sinudoidal model)

example of matlab,optimization method which is used with different model.it will be useful for whom they want to learn Matlab by themselves

shadow detection with matlab model color hsv