Extended_KalmanFilter

回归分析的matlab实现(Regression analysis matlab realize)

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)

空间谱估计中MUSIC算法基于波束空间MUSIC算法，对初学者有一定参考作用

说明：  一个有关OMP的应用的例子，适合初学者学习 正交匹配追踪方法(An example of application of relevant OMP, suitable for beginners The principal component analysis method)

用于处理地震数据的一系列操作代码，包含对地震书籍的处理和对井资料的处理，非常适合勘探地震学初学者学习。里面附有英文使用说明(Code for seismic data processing a series of operations, including handling and processing of seismic well data books, is very suitable for beginners to learn exploration seismology.)

自适应信号处理 LMS SER RLS三种搜索算法 matlab实现 及比较(adaptive signal processing LMS SER RLS search algorithm matlab achievement )

说明：  DE算法整定PID参数，智能算法解决PID参数整定问题的例子。(DE for solving PID tunning)

adaptive control tutorial第二章习题程序(chapter 2 of adaptive control tutorial)

超好用的Wavelet 2-D程式,有gui可以用來參考,附備註說明對照(Chao Haoyong of Wavelet 2-D program, there are gui can be used to refer to, with a contrast Remarks)

Matlab中没有现成的Lagrange插值函数，必须编写一个M文件实现Lagrange插值。 设n个节点数据以数组x0,y0 输入（注意Matlat的数组下标从1开始），m 个插值点以数组 x输入，输出数组y 为 m个插值。 编写一个名为lagrange.m的M文件。(Matlab is not off-the-shelf Lagrange interpolation function, we must realize the preparation of an M file Lagrange interpolation. N nodes based data to an array of x0, y0 input (Note Matlat subscript of the array starting at 1), m a x interpolation points to the array input and output array y for m months interpolation. Lagrange.m the preparation of a M-file.)