搜索资源列表
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
kurtosis
- 图像峰度计算函数,可作为图像质量评价的一个标准
kurtosis_k_ma
- Threshold selection for UWB TOA estimation based on kurtosis
Touch_exe
- 该软件支持jpg,gif、png图片格式,大致有下列功能: V 0.1 版: 1. 图像放大、缩小、复制、打印、获取当前图像任意位置颜色信息。 2. 显示图像灰度直方图。 3. 灰度统计:图像宽度、高度、最小灰度、最大灰度、灰度均值 Mean、灰度方差 Variance、标准差、偏态 Skewness、峰度系数 Kurtosis、熵 (Entropy)。 4. RGB三原色分离、RGB图转灰度图、灰度均衡、图像可调阈值二值化、图像反色。 5. 图像可调阈值边缘检测:Rob
chip_histogram_features.rar
- 直方图是用面积表示各组频数的多少,矩形的高度表示每一组的频数或频率,宽度则表示各组的组距,因此其高度与宽度均有意义。 程序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。 ,Histogram is that each group size the number of frequency, the height of the rectangular frequency of each group said that the number or frequency,
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.
chip_histogram_features
- 直方图特征的计算,包括方差,峰度,熵值等。-Histogram of the characteristics of the calculation, including the variance, kurtosis, entropy and so on.
source
- 使用INTEL矢量统计类库的程序,包括以下功能: Raw and central moments up to 4th order Kurtosis and Skewness Variation Coefficient Quantiles and Order Statistics Minimum and Maximum Variance-Covariance/Correla
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
pto
- 运用统计理论进行均值、标准差、偏斜度、峰度等的计算-Application of statistical theory to the mean, standard deviation, skewness, kurtosis, etc. Calculation
bbs-bksa
- 基于峭度的盲源分离算法,包含画图子程序。-Based on Kurtosis algorithm for blind source separation, including the drawing subroutine.
CBIR
- 一个基于Gabor滤波器组的多特征融合的图像检索算法(CBIR based on Multi-Features Combining Multi-parameters from Gabor Filter-bank, 简称multi法),融合了基于Gabor 小波系数的标准方差,峰态,能量,平滑度和一致性度量五个特征量度,实验表明,该算法是一种更加有效的图像检索方法。-we propose a CBIR algorithm based on Multi-Features Combining Mult
Untitled5
- 求峭度,有效值,均方值,还有峰度,是对风力发电机组数据的必要东西-Seeking kurtosis, RMS, mean square value, and kurtosis, the data is necessary for wind turbine things
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
fya
- 使用基于峭度的FASTICA盲分离算法,实现对四个亚高斯信号的分离,并从分离结果可总结出盲分离算法的两个不确定性。-FASTICA kurtosis-based blind source separation algorithm, to achieve the separation of the four sub-Gaussian signals, and the separation results can be summarized from the blind separation alg
fchao
- 使用基于峭度的FASTICA盲分离算法,实现对两个超高斯信号的分离,并从分离结果可总结出盲分离算法的两个不确定性。-FASTICA kurtosis-based blind source separation algorithm, to achieve the separation of the two super-Gaussian signals, and the separation results can be summarized from the blind separation al
fchaoya
- 使用基于峭度的FASTICA盲分离算法,实现对亚高斯信号和超高斯混合信号的分离,并从分离结果可总结出盲分离算法的两个不确定性。-FASTICA kurtosis-based blind source separation algorithm to achieve sub-Gaussian and super-Gaussian mixed-signal separation, the separation results from the separation algorithm can be s
MUK_algorithm
- multiuser kurtosis algorithm b-multiuser kurtosis algorithm bss
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
QQAA
- 综合介绍CMA的,提出2种改进算法,并且有基于峰度的推导证明-An overview of the CMA, put forward two kinds of improved algorithms, and there is proof of the derivation based on kurtosis