Classifier

用matlab编写的简单程序，用自适应门限法将图像二值化，门限是通过最大类间方差确定(Simple program using matlab, using adaptive threshold method image binarization threshold is determined by Otsu)

Construct a PathEffect whose effect is to apply first the inner effect and the the outer pathEffect.

经典伪彩图，功率谱，很有意思，也很有用希望对大家有帮助。(typical power spectrum,very intresting,i hope everyone will love it.)

This is a simple sample of crypto

Matlab编程实现FFT变换及频谱分析的程序代码 轴心位置论文 太阳黑子周期分析 基于广义解调时频分析的包络阶次谱在齿轮故障诊断中的应用 基于广义解调时频分析的包络阶次谱在齿轮故障诊断中的应用(Matlab programming FFT transform and spectral analysis of program code axis position papers sunspot cycle analysis based on generalized demodulation time-frequency analysis application based on the generalized demodulation envelope order spectrum frequency analysis in gear fault diagnosis envelope order Application times Spectrum Gear Fault Diagnosis)

MATLAB图形用户界面设计 1 菜单设计 2 对话框设计 3 图形用户界面设计工具(MATLAB graphical user interface design a menu design 2 design 3 graphical user interface dialog design tool)

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：  这是一个用matlab编的生成最基本神经网络的实例.(This is a series with Matlab generated the most basic neural network examples.)

QPSK-MBOFDM发射接收机 QPSK调制的多频带OFDM（MB-OFDM）发射机，经过加性高斯噪声信道，接收机判断误码率。 (QPSK-MBOFDM launch QPSK modulation receiver multiband OFDM (MB-OFDM) transmitter, through the additive Gaussian noise channel, the receiver determine the error rate.)

自己编写的基于要所感知的脑电信号预处理，代码效率良好，而且程序架构简单易行。(I have written EEG signal preprocessing based on the perceived good code efficiency, and procedural framework is simple.)