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 calculated image function, image quality evaluation can be used as a standard
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
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
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 F
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]
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 func
sum_fdct_wrapping_finding_feature
- fingerprint kurtosis measure
fastica-kurtosis
- It is one of blind signal separation algorithm using kurtosis method
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))