搜索资源列表
bss-sond
- 提出了一种新的自适应盲源分离算法。在无噪音实时两源两传感器的情况下, 一旦观 测信号被白化, 只需要辨识一个特定的旋转矩阵就可以完成盲源分离, 并给出了能表征该旋转矩阵的角的自适应估计器。仿真结果表明, 当满足源峭度和不为零的条件时, 这种方法是一种稳定的和有效的分离算法。-proposes a new adaptive algorithm for blind source separation. In the absence of real-time two noise sources t
maxkurtica
- 基于峭度极大的ＩＣＡ算法 ，用于盲源分离-Kurtosis great ICA algorithm for the Blind Source Separation
bksa
- 针对线性混合信号盲分离时，源信号概率密度与激活函数难以确定时（尤其是源信号中既含超高斯信号，又含亚高斯信号时），依据信号pdf的一种测度--峭度，自适应的确定激活函数，实现信号的盲分离，是一种基于峭度开关的盲分离算法。
Gaussin-mixed
- 可以产生混合高斯信号信号的函数。自己可以调节混合信号的峭度。-Can produce mixed-Gaussian signal function. You can adjust the mixed signal kurtosis.
ica2
- 基于峭度极大的一种独立分量分析的算法，内有详细介绍每一步程序的作用和意义-Based on Kurtosis of a great independent component analysis algorithms, with detailed procedures for every step of the role and significance of
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
bksa
- 基于峭度的盲分离开关算法的matlab源代码程序-Blind Source Separation Based on Kurtosis switch algorithm
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
qiaodu
- 基于峭度的独立分量分析，包括并行提取和串行提取的程序-ICA based on kurtosis analysis, including parallel and serial extraction procedures for extracting
program-and-data-sets
- 本程序是用于在时域中分析处理轴承故障数据的，提取了各种时域的特征参数，包括均值，有效值，峭度，裕度指标，波形指标等等 适合初学者用于轴承的故障诊断中对参数的提取。（附上轴承故障数据3类共21组 正常、内圈、外圈）-This procedure is used in the time domain analysis of bearing fault data processing to extract the characteristics of various time domain param
Pack-Kurtogram
- 快速计算一维信号的塔式谱峭度图，选择谱峭度最大值区间，方便确定所需滤波器中心频率及带宽。-Computes the fast kurtogram of signal x.This fast algorithm uses a pyramidal decomposition of the signal into a user-specified number of levels (a good choice is nlevel = 8). The first level is the classic
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
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)
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
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.)
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
谱峭度工具箱
- 谱峭度工具箱，Spectrum kurtosis toolbox，谱峭度工具箱(Spectrum kurtosis toolbox)
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)