搜索资源列表
labview
- 使用labview采集16通道数据，采集10次，保存成tdms格式，并对所有数据进行频谱分析，有效值和峭度等指标的10次趋势分析，可在趋势图中点击光标查看原始波形(Using LabVIEW to collect 16-channel data, collect 10 times, save them in TDMS format, and analyze 10 times trend of all data, such as spectrum analysis, RMS and kurtosi
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, correlation coefficient and kurtosis
轴承特征提取
- matlab代码，轴承特征提取，包括rms、最大幅值、峰值因子、绝对平均值、平均值、峭度、脉冲因子、裕度因子、能量，小波包、经典模态分解等特征(Matlab code, bearing feature extraction, including rms, maximum amplitude, crest factor, absolute mean, mean, kurtosis, pulse factor, margin factor, energy, etc.)
mckd
- 最大相关峭度反褶积，给定滤波器长度和周期T、位移数后可将与周期成分不相符成分默认为噪声成分，具有极强的降噪能力。(Maximum correlation kurtosis deconvolution, given the filter length and period T, displacement number, can default to the non-conforming component of the periodic component as the noise compone
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.)
garchsk
- Jondeau 、Leon 等提出自回归条件方差—偏度—峰度模型(GARCHSK)，用于同时描述收益率二阶矩、三阶矩和四阶矩的时变特征。此文件为该模型代码。(Jondeau, Leon et al. Proposed an autoregressive conditional variance-skewness-kurtosis model (GARCHSK), which was used to describe the time-varying characteristics of the
谱峭度工具箱
- 谱峭度工具箱，Spectrum kurtosis toolbox，谱峭度工具箱(Spectrum kurtosis toolbox)
优化K值
- 分解信号,能量差值优化K，峭度，样本熵，排列熵(Decomposition of signal, optimization of energy difference value K, kurtosis, sample entropy, permutation entropy)
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)