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chip_histogram_features
- 本程序使用matlab实现提取了很多直方图所需要的参数特征，如均值、方差、偏度、峰度、能量和熵。-This procedure used to achieve extracted a lot of matlab histogram parameters needed features, such as the mean, variance, skewness, kurtosis, energy and entropy.
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
matlabscore
- 某校60名学生的一次考试成绩如下： 某校60名学生的一次考试成绩如下： (93 75 83 93 91 85 84 82 77 76 77 95 94 89 91 88 86 83 96 81 79 97 78 75 67 69 68 84 83 81 75 66 85 70 94 84 83 82 80 78 74 73 76 70 86 76 90 89 71 66 86 73 80 94 79 78 77 63 53 55 1)计算均值、标准差、极差、偏度、峰度，画出直方图；
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
fixkurtosis
- code to calculate kurtosis in ICA
Image_kurtosis_skewness_function
- 图像峰度偏度函数，函数的变量里需要指明平均值和方差-Image kurtosis skewness function, the function of the variable need to specify the mean and variance
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
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
bksa
- 基于峭度的盲源开关算法对信号进行分离，实现了良好的分离效果-Kurtosis-based switch algorithm for blind source separation of signals to achieve a good separation effect
cvRW
- kurtosis 图像锐度检验代码，支持批量图像检验，可用Lena测试， opencv2.0 参数1 图像文件名 参数2 输出图像-kurtosis sharpness test code, opencv2.0
image_statistics
- 图形计算第一和第二的一系列图像顺序统计。计算平均值，有效值，偏度和峰度 - 一阶统计。 （图形用户界面粗糙度参数计算）-GUI for calculating 1st and 2nd order statistics of series of images. Calculates Average, RMS, Skewness and Kurtosis- 1st order statistics. (identical to File ID:#25981- GUI for calcula
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
MUK_algorithm
- This file implements the Multi User Kurtosis Algorithm for Blind Source Separation (see [1] for more details about the method). The zip file contains: - the one_shot.m scr ipt file - the MUK_algorithm.m function The one_shot.m file
sum_fdct_wrapping_finding_feature
- fingerprint kurtosis measure
fastica-kurtosis
- It is one of blind signal separation algorithm using kurtosis method
kurtosis
- 声学信号检测及评价，基于kurtosis的声学信号分析-Acoustic signal detection and evaluation of acoustic signal analysis based on kurtosis
kurtosis
- 滚动轴承故障诊断 小波包分解 峭度最大尺度重构-Roller Bearing Fault Diagnosis Based on Wavelet Packet Decomposition kurtosis largest scale reconstruction
kurtosis
- 基于峭度的盲源分离算法，可以用于语音的分离，提高语音信号质量-Blind source separation algorithm based on kurtosis can be used to separate voice and improve the quality of voice signal
FSWT-and-Spectrum-Kurtosis
- 本文提出一种基于频率切片小波变换和谱峭度的综合算法。首先对轴承端的振动信号时频分析，采用FFT、包络谱、频率切片小波变换对其频域性能进行分析，再求其峭度谱与对应包络谱，结合其时域、频域性能，综合分析轴承故障。-This paper presents a synthesis algorithm based on frequency slice wavelet transform and spectral kurtosis. Firstly, the time-frequency analysis
kurtosis code
- 此代码是一个kurtosis的例子(包含数据)，欢迎下载使用(This is a example of kurtosis(include data))