stochastic_opt

matlab基础例程，用于绘图和信号处理，例程很典型。(Basic Matlab routines, used for drawing and signal processing. Very typical routines.)

对示波器或其他设备在实验中接收并储存的离散信号进行绘图，行程信号曲线图(Oscilloscope or other device is received and stored in the experiment drawing discrete signals, the signal graph stroke)

卷积码和viterbi译码源程序，用MATLAB实现，本人亲自试验过绝对没有错误，希望对大家有用(Convolutional codes and viterbi decoding source code, using MATLAB to achieve, I personally tested absolutely no mistakes, want to be useful to everyone)

matlabde zbt price 函数类似与bootstrapping法求利率期限结构(zbt price bootstrapping)

这个文件包含很多MATLAB用于遥感处理的代码！(This file contains a lot of MATLAB code for the remote sensing processing!)

PLO definition and graphical results

不同的窗口加权函数得到的雷达成像效果不同，在此进行对比。(Different effects of different radar imaging window weighting function obtained in this comparison.)

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)

this code extract the ellipse from noisy image by morphology method

应用半不变量法实现14节点随机潮流计算 考虑了发电机组出力和负荷的随机性(case14 cumulant)