搜索资源列表
K
- LABVIEW下实现 峭度的自动运算，可以再故障预警中使用-Kurtosis under LABVIEW automatic computing, fault could be the use of early warning
ICA_algorithms_based_on_different_objective_functi
- 一共包含了5个ICA的算法，其中： fastica.m文件中的ICA算法是基于负熵的； m_fastica.m文件中的ICA算法是基于负熵的改进算法； fastica_kurt.m文件中的ICA算法是基于峭度的； fastica_ML.m文件中的ICA算法是基于互信息的； NLPCA.m文件中的ICA算法是基于非线性PCA的。-Contains a total of five ICA algorithm, in which: fastica.m file in the ICA
maxkurtica
- 一种新的基于峭度的盲源分离开关算法。程序调用说明：该算法程序调用格式为[y,w]=bksa(x),其中x是一个n*T的数据矩阵，y是估计出的源信号矩阵，w是n*n分离矩阵。-A new kurtosis-based switch algorithm for blind source separation. Program calls Note: The algorithm program calls the format [y, w] = bksa (x), where n* T x is a
qiaodumangfenli
- 基于峭度理论的盲分离，根据峭度的大小来点分离的点-Blind separation based on the theory of kurtosis
kurt_grad
- 这是基于峭度的梯度算法，混合方式是线性瞬时混合，源信号和混合信号相等，该算法很有学习意义。-failed to translate
FastICA_Kurt
- 这个算法是基于峭度的快速不动点算法，混合方式是线性瞬时混合，适定情况，该算法收敛速度较梯度算法快，很实用。-failed to translate
kurt_FastICA
- 基于峭度的盲源分离，采用FastICA技术，适合初学者-BSS based on kurtosis by FastICA
kurt_grad_
- 基于峭度的盲源分离，使用最速下降法，适合初学者-BSS based on kurtosis by gradient
kurt_grad_vary
- 基于分离度的变步长盲源分离算法，将峭度梯度算法改进成变步长梯度算法，提高了分离性能，使收敛速度加快，使计算耗时减少。程序编入了两种算法的对比。-BSS based on separation degree by vary step gradient.
test2
- 他是HHT，经过EMD 分解后得到各阶imf分量。并且对各阶imf分量进行峭度求取。是经典的程序。-He is the HHT, EMD decomposition after each order imf components. And for each component of kurtosis order imf strike. Is a classic program.
baoluopu
- 对一段振动信号emd分解后，求每个分量的峭度值，选取峭度最大的分量，求其包络谱，能够明显看出特征频率。-After a period of vibration signal emd decomposition, seeking kurtosis value of each component, the largest component of kurtosis, seeking its envelope spectrum, can obviously see that the characte
Kurtogram
- 谱峭度工具箱，用于轴承诊断，可以直接得到峭度谱，简单实用。-Spectral kurtosis toolbox for bearing diagnostics, can be obtained directly kurtosis spectrum, simple and practical.
Fast--Kurtogram
- 将信号分为不同频带，计算峭度值，选择峭度值最大的频带解调分析-divide The signal into different frequency bands, calculate kurtosis value, the maximum kurtosis band demodulation
tongji
- 时域统计信息量，方差、均方根值、峭度因子、波形因子等-Time domain statistical information, variance, root mean square value, kurtosis factor, waveform factor, etc
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
ICA快速算法原理和程序
- FastICA算法是基于非高斯性最大化原则得到的一批处理算法。峭度和负熵都可以作为非高斯性的度量。(Advantages: applicable to any non-gaussian signal, blind separation algorithm with fast convergence speed and easy to use, without the need to choose the learning step, is the most widely used algorit
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)
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.)
谱峭度工具箱
- 谱峭度工具箱，Spectrum kurtosis toolbox，谱峭度工具箱(Spectrum kurtosis toolbox)