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说明：  S 函数使用及应用举例，对涉及到simulink里s函数的应用有详细的解释(The use and application of S function, for example, relating to the simulink function in the application of s has a detailed explanation)

绝对可以用的 倒立摆程序 人格保证(matlab daolibai mohu)

vc调用matlab中自定义的.m函数，对于混编简单的例子(Vc call custom in matlab. M function，For simple example mixed)

gpc example for proyect

A good matlab code that analysis the ROC curve and corresponding AUC value to estimate the sensitive and the currectness of the sample estimate. This code is suitable for variable type and function data.

matlab经典的100个实验程序。非常适合初学者学习。(matlab classic 100 experimental procedure. Very suitable for beginners to learn.)

说明：  决定性系统中，这个脚本演示计算的观测系统状态的观测为X0输入和一个输出输入有限时间t1.这个脚本的输入是单位阶跃函数( This script demonstrates computing the state x0 of an observable system based on observing input and output for a finite time t1.The input is a unit step function for this script)

本程序是矩形波的产生。第零步定义了要产生的波形的所有特征参数，矩形波的持续时间WIDTH，矩形波的采样点数POINTS,载波频率为F0，这个频率的最终引入是便于使用RF频率发射波形。第一步包括产生矩形波，并将其调制到RF上，注意，产生的信号的持续时间是矩形波宽度的5倍，这样，总的采样点数就是5*POINTS。同时还应注意，如果要产生一个基带信号，必须设置T0=0.第二步是画出所产生矩形波的源代码。( This procedure is rectangle wave production. Step to produce stage defined the waveform of all characteristic parameters, the duration of the rectangle wave WIDTH, rectangle wave sampling POINTS POINTS, carrier frequency F0, this frequency for the ultimate introduction is easy to use RF frequency emission waveforms. The first step including generating rectangle wave, and modulated to RF, attention, produce the duration of the signal is five times the width of rectangle wave, so, overall sampling POINTS is 5* POINTS. Also, note that if you want to produce a baseband signals must set T0 = 0. The second step is to draw a rectangular wave generated by the source code. )

熵（近似熵，样本熵）,适合初学者。值得一看。。。。。(Entropy (entropy of approximate entropy, sample), suitable for beginners. Worth a look... )

双边滤波MATLAB程序，详细编写了滤波的过程，通过此程序可以很好的理解双边滤波算法(Bilateral Filtering MATLAB program, the elaboration of the filtering process, through this procedure can be a good understanding of bilateral filtering algorithm)