signal1

短时傅里叶变化的程序， 可以2d显示，也可以3d显示，短时傅里叶变化的结果。(Short-time Fourier transform of the process, can be 2d show can also be 3d shows the result of short-time Fourier transform.)

it shows the Antenna Directivity Pattern by using matlab

该代码为基于FCM-GRNN的聚类算法，MATLAB中处理神经网络类型(The code for the clustering algorithm based on the FCM-GRNN neural network types MATLAB processing)

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)

Crossplatform IM the client for dialogue on a local area network and file transfers.

IT IS FOR MATLAB PROJECT

matlab在物理化学科学的应用，有相关的统计分析和聚类模型(matlab in physical and chemical science and application of relevant statistical analysis and clustering model)

群体智能优化：粒子群算法，是一种以鸟群觅食这种社会行为为基础的最佳化寻优技术(particle swarm optimization)

Matlab入门手册，解压后是word版本。适合初学者学习入门(Matlab Getting Started manual, after extracting word version. Suitable for beginners learning portal)

source code identification using matlab