搜索资源列表
shujufenxi
- 用以计算离散信号的均值，均方根值，方差，峭度和歪度-The mean value of discrete signal to the RMS value, variance, kurtosis and skewness.
RobustICA and Oscma
- 收集了Zarzoso相关的最优步长算法和RobustICA。最优步长算法（os-cma）基于有效的算法迭代技术，RobustICA基于归一化峰度对比功能，这是通过计算有效的迭代技术的优化。其中包含了原始的论文可以参考。(The optimal step-size constant modulus algorithm (OS-CMA) is based on a computationally efficient iterative technique to minimize the CM cos
峭度指标VI
- 峭度指标是非平稳信号故障诊断的重要参数。峭度指标对信号中的冲击成分十分敏感，冲击成分能量越大，其峭度值就会越大，在故障诊断的时域分析中十分重要。本文件中将其独立做成了一个子vi，便于程序直接调用。(Kurtosis index is an important parameter of non-stationary signal fault diagnosis. The kurtosis index is very sensitive to the impact component in the
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 : 样本平均数标准误：standard error of mean !ama
work
- spectarl kurtosis for fractional frourier transform
1
- maximum correlation kurtosis deconvolution
evilopment
- 用MATLAB实现信号的包络分析寻常的偏度，峭度等状态指标(Using MATLAB to Realize Signal Envelope Analysis of Ordinary Skewness, Kurtosis and Other State)
matlab程序
- 能够从信号中提取时域参数，包括：均值、峰值、均方根值、偏斜度、峭度等。(The time domain parameters can be extracted from the signal, including mean, peak, RMS, skewness, kurtosis, etc.)
MIToolbox
- 独立分量分析是一种统计和计算技术，用于揭示随机变量、测量数据或信号中的隐藏成分。(In ICA, multi-dimensional data is decomposed into components that are maximally independent in an appropriate sense (kurtosis and negentropy, in this package).the ICA components have maximal statistical indepe
Fast-Kurtogram
- 快速谱峭度算法，好用，平时自己用的代码，推荐(An efficient fast Spectral Kurtosis Algorithm)
fault detector
- Maximum Correlated Kurtosis Deconvolution (MCKD) [matlabhome.ir]
emd谱峭度
- 比较齐全的hht算法的程序，可以进行谱峭度分析，选取峭度最大的分量，求其包络谱，能够明显看出特征频率，比较实用。(A more complete algorithm of HHT algorithm can carry out spectral kurtosis analysis, select the largest component of kurtosis, and find its envelope spectrum, which can clearly see the characte
20558
- Autoregressive conditional kurtosis
11robustica
- Zarzoso 提出的一种ICA 方法，这个方法以归一化的峭度作为对照函数。并通过优化的步长来对对照函数进行优化。它使用的是精确线搜索。(Kurtosis-based RobustICA method for deflationary ICA/BSS)
eemdaddKurtosis criterion
- 利用eemd分解信号以及峭度准则筛选最佳分量，并对筛选的分量做包络谱，进而诊断出故障类型。(EEMD is used to decompose the signal and kurtosis criterion to screen the best components, and the envelope spectrum of the selected components is made, and then the fault types are diagnosed.)
基于多尺度谱峭度的分接开关振动信号处理
- 基于多尺度和谱峭度算法对振动信号进行降噪处理，里面有程序说明，有运行结果说明，值得学习一下(Based on the multi-scale and Spectral Kurtosis Algorithm, the vibration signal is de noised and processed. There is a program descr iption, and the result of operation shows that it is worth learning.)
tezhengzhi
- 时域指标特征提取：包含均值、方差、最大最小值，峭度指标等16个指标(Time domain index feature extraction: including the mean, variance, maximum and minimum values, kurtosis indicators and other 16 indicators)
winbugs计算SV模型程序
- 分析波动模型参数估计，模拟峰度和波动率等(Analyze the parameter estimation of wave model, simulate the kurtosis and volatility)
Pack Kurtogram
- 快速谱峭度的一些相关程序。具体可以自己下载查看(Some related procedures for fast spectral kurtosis. You can download it yourself.)
time-domain
- 自己用的时域特征提取方式，包含均值，均方根值，歪度，峭度，峰值指标，阈值裕值指标，峭度指标等，然后用RBF做聚类(The method of feature extraction in time domain includes mean value, root mean square value, skewness, kurtosis, peak value index, threshold margin index, kurtosis index, etc. Then RBF is used