搜索资源列表
compute_Cs_Ck
- 计算样本数据集的峰度系数和峭度系数的代码，比较实用-Kurtosis and kurtosis coefficient code to calculate sample data sets, more practical
dual-tree
- 首先将非平稳的故障振动信号进行双树复小波包分解，得 到不同频带的分量；然后对每个分量求其峭度值和相关系数并进行比较；最后选取峭度值和相关系数较大的分量 进行软阈值降噪和双树复小波包重构，即可有效地消除振动信号中噪声的干扰，同时保留信号中的有效信息即实 现了故障特征信息的提取。-In view of the above situation, a new fault diagnosis method is proposed
moshishibie
- 基于最小二乘支持向量机的模式识别，特征向量为滚动轴承的能量百分比和峭度系数-Pattern recognition based on least squares support vector machine (SVM), the percentage of energy eigenvector for rolling bearing and kurtosis coefficient
SkewnessAndKurtosis
- 计算偏度系数、峰度系数和峭度系数的fortran代码-Calculate the coefficient of skewness and kurtosis coefficient and kurtosis coefficient of FORTRAN code
STATS
- 本程序为描述统计常用变量计算 !调用计算最大值和最小值的冒泡程序，计算平均值，标准差，计偏态、峰态系数的函数等 !可以计算的统计变量包括下列各项： !n : sample size 样本大小 !mean : 平均值 !median : 中位数 !variance： 方差 !SD : 样本标准差 standard deviation !SEM : 样本平均数标准
add_noise_pinyutu
- 进行纯净信号和加噪信号的时频域显示，及其包络图显示，并计算加噪信号的信噪比、互相关系数、峭度值，对信号进行离散余弦变换。(The time-frequency domain display of pure signal and noise-added signal and its envelope diagram display are carried out, and the signal-to-noise ratio, correl
emd
- Emd分解，通过峭度和相关系数选择IMF，进行信号重构，小波分解，小波包分解。(Emd decomposition, selecting IMF by kurtosis and correlation coefficient, signal reconstruction, wavelet decomposition, wavelet packet decomposition.)
Emd_SVD
- 通过峭度指标与互相关系数筛选IMF进行SVD分解去噪(Filtering IMF for SVD denoising by kurtosis index and correlation number)