MATLAB4

This the indcution machine simulink model which is designed as per the dynamic equation of the induction machine. reference is IEEE"simulink Impletation of the Induction Machine Model---A modular Approach... all the details is provided in the paper for more information please refer this paper

MATLAB插值与拟合（线性拟合函数：regress() 多项式曲线拟合函数：polyfit( ) 多项式曲线求值函数：polyval( ) 多项式曲线拟合的评价和置信区间函数：polyconf( ) 稳健回归函数：robust( ) 向自定义函数拟合 ）(MATLAB interpolation and fitting (linear fitting function : regress () function polynomial curve fitting : polyfit () polynomial curve function : polyval () polynomial curve fitting and evaluation function confidence interval : polyconf () function Robust Regression : robust () function to define fitting))

本函数用于实现用矩量法和海伦积分方程球解对称天线电流分布 (This function is used to achieve the solution of integral equation method of moments and Helen Ball symmetric antenna current distribution)

Matlab book for student

实现matlab与usb接口进行通讯，并将数据进行显示(Achieve matlab communicate with usb interface, and data display)

说明：  基追踪算法，用于解决压缩感知问题的经典算法，使用ADMM求解。(It is a matlab version of Basis Pursuit algorithm used to solving compressed sensing problem.)

对大量的离散数据用matlab进行处理，得到明了的曲线图像。(Using MATLAB for data processing )

希尔伯特黄变换之模态经验正交分解matlab实现(Modal empirical orthogonal decomposition of the Hilbert-Huang Transform matlab implementation)

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)

说明：  本人做的spwm逆变仿真-spwmtext.mdl，毕业设计做的仿真，拿来贡献(My SPWM inverter simulation - spwmtext.mdl, the simulation of graduation project, to contribute)