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属性约简的matlab代码：实现了基于信息熵、模糊信息熵；这些算法可以同时处理离散变量和数值变量，无须离散化。(Attribute Reduction of matlab code: to achieve based on information entropy, fuzzy information entropy these algorithms can deal with discrete variables and numerical variables without discretization.)

说明：  五点差分求解椭圆边值问题，简单明了，运行快捷，好用(five points)

sareli<matlab科学计算>配套程序(sareli )

说明：  lagrange插值 快捷计算插值，挺好的.(lagrange interpolation quick calculation of interpolation, quite good.)

声子晶体的源程序：圆柱形散射体呈正方形排列的ＸＹ模的程序(Phononic crystal source: cylindrical scattering takes the shape of a square arrangement of the XY model program)

用matlab产生的多径的程序,好不容易找到的,可以下载.大家快点下载啊(Generated by using matlab multipath procedures, hard to find, and can be downloaded. U.S. quickly download ah)

《Applied Numerical Methods Using MATLAB》是Wiley出版社2005年出版的书，是Matlab应用在数值运算和机器学习领域最权威的书。("Applied Numerical Methods Using MATLAB" is published by Wiley in 2005. It is the most authoritative book used in Matlab numerical computing and machine learning.)

Matlab的使用手册，对于初学者很有帮助(Matlab' s manual, very helpful for beginners)

这是一个用matlab编写的求解微分方程组的程序(this is a matlab program to solve differential equations)

小波变换进行变速箱故障诊断 首先将s1和s2信号时域谱（s1代表维修前的振动信号，s2代表维修后的振动信号），画出来进行对比，会发现s1信号的振动幅值会比较高；然后对s1和s2分别进行小波分解并画出各层的时域谱，只对比s1和s2分后的最高时域谱，s2更加的具有周期性，且幅值较小，s2周期性不够明显，且振动过于密集。分析完时域谱后开始分析频谱，首先对原信号s1和s2fft转换，得到频谱图，如图，然后再对小波分析后高频部分进行fft转换，做出频谱图。对比后我们发现，在f 2375HZ出（也就是齿轮的啮合频率），s1信号频谱幅值会有急剧的升高，然后，其谐波的幅值也会增大。所以可以推断出该维修前的增速箱的齿轮可能出现问题。(Gearbox fault diagnosis based on wavelet transform s1 and s2 first time domain signal spectrum (s1 behalf of the vibration signal before maintenance, vibration signal s2 representative of repaired), drawn comparison, you will find a signal s1 vibration amplitude will be higher then s1 and s2 respectively wavelet decomposition and draw the layers of time-domain spectrum to only a maximum time domain spectroscopy s1 and s2 points after, s2 is more cyclical and smaller magnitude, s2 cyclical enough obviously, and the vibration is too dense. End domain spectral analysis after the beginning of the spectrum analysis, the first of the original signal s1 and s2fft conversion to give the spectrum, as shown, and then after the high frequency part of wavelet analysis fft transformation to make spectrum. We found that after the comparison, at f 2375HZ out (i.e. the gear mesh frequency), there will be a sharp increase in the amplitude spectrum of the signal s1, and then, the amplitude of the ha)