Dynamic-fractal

用simlink开发的space-time coding仿真模型,仿真的精度与效率有不小的提高(with simlink development of the space-time coding model, Simulation accuracy and efficiency are not a small increase)

希尔伯特-黄变换的matlab代码，仅供参考(Hilbert-Huang Transform)

说明：  牛顿公式、修正牛顿公式和斜激波关系式三种计算压力系数方法比较程序MATLAB源码(Newton' s formula, modified Newton formula and oblique shock relation three calculation pressure coefficient comparison procedures MATLAB source)

基于matlab应用小波变换进行图像融合(imagefusion based on wavelet)

Reduce noise in Binary Image 二值图去噪小程序，matlab(Reduce noise in Binary Image binary image denoising applet, matlab)

此为许多关于图像处理的程序,对处理图像大有帮助,希望与大家分享.(This is a lot about image processing procedures for dealing with images of great help and hope to share with you)

Matlab阵列信号处理工具箱（DBT），版本2.20，阵列信号处理必备。(Matlab Signal Processing Toolbox Array (DBT), Version 2.20, array signal processing required.)

这本书是关于弹簧系统的，里面附有大量matlab程序，希望能看看(it is about the spring systyem)

Conical flow field solver

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)