canca

利用原数据进行实验，并利用主成份分析后取样本。(Experimental use of the original data and the use of principal component analysis of a sample.)

蒙特卡洛的理论知识，详细的教学课件，内容丰富，对初学者有帮助(Monte Carlo theoretical knowledge, detailed courseware, content rich, useful for beginners)

用于将RGB彩色图转化为灰度图的matlab代码！(Gray color map of the matlab code!)

长周期光纤光栅的源程序代码,可用来模拟其传输特性(LPFG the source code can be used to simulate transmission characteristics)

小波 王变换——matlab 程序实现。(Wang transform- matlab program.)

说明：  SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名） 使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)

该文件是在Labview环境下编写的数字滤波器，该滤波器可以针对不同的波形滤去不必要的高频或者低频，留下研究者想要的部分。(The document is written in Labview environment digital filter that can filter out unwanted high frequency or low frequency for different waveforms, the researchers wanted to leave part.)

i am testing. pls check and try to know clearly about this code

一个蓝牙系统的matlab/simulink实现程序，代码完整，经过调试(A Bluetooth system, matlab/simulink realization of program, code integrity, through the commissioning)

This is the machine-generated representation of a Handle Graphics object and its children. Note that handle values may change when these objects are re-created. This may cause problems with any callbacks written to depend on the value of the handle at the time the object was saved. This problem is solved by saving the output as a FIG-file.