搜索资源列表
kdetoolbox(matlab)
- 核密度估计(kde)的工具箱,我是在做背景建模的时候遇到这方面问题找到的,希望对大家有点用处.-nuclear density estimates (kde) Toolbox, I was doing background modeling, encountered this issue to find, and I hope to you a bit useless.
kernel-density-estimation.rar
- 一种核密度估计，或者称作带宽选择的方法，可以估计二维尺度参数，至于多维以上的估计方法尚在开发，多维情况下个人经验好的方法是多次实验取较好值,kernel density estimation, bandwidth selection, two-dimensional scale parameter can be estimated ,for the multi-dimensional approaches are still under development, multi-dimensiona
gkdj
- 以为高斯和密度估计，使用高斯核的非参数密度估计方法，对样本进行概率密度估计，程序中给出了窗宽的估算公式。-That the Gaussian and density estimation, using Gaussian kernel non-parametric density estimation method, the sample probability density estimates, the program gives the formula for bandwidth estim
KsQuantile
- 利用正态分布和核密度估计计算分位数。包括正态分布分位数函数、核估计概率密度函数、核估计累计分布概率函数、核估计计算分位数函数。-Normal and kernel density estimation using sub-digit calculation. Including the normal quantile function, kernel estimate probability density function, cumulative distribution probabilit
kde2d
- 二维核密度估计算法.以及最优化计算核宽度。-bivarite kernel estimation
mainKDEprogramLINEAR
- 核密度估计，用于识别和核密度计算，采用高斯插样。-kernel density evalue.it is used for statistical pattern recognition.
gkde
- MATLAB code,做点扩散函数和核密度估计的
234234
- 基于非参数核密度估计的Copula函数选择原理.-Based on nonparametric kernel density estimation in the Copula function selection principle
@kde
- 把那个软件包解压缩，添加到matlab路径下，运行@kde\mex\makemex.m，然后就可以调用kde函数创建核密度估计类对象，调用类对象的各种“方法”实现核密度估计、画图等-Next, running @ kde \ mex \ makemex. then can be called kde function creates kernel density estimation class object, the call of the object of "method" realiz
Kernel-Smoothing-Toolbox
- 数据的核密度估计及平滑处理 包含各种窗函数-Kernel Smoothing Toolbox for matlab
kde2d
- 核密度估计，可以刻画变量的时间演进动态性，可以反映变量在时间上的变动的整体性- Kernel Density Estimation
parzen
- 核密度估计的parzen窗法，简单易用，适合于初学非参数估计的用户。-Kernel Density Estimation parzen window method, easy to use, suitable for novice non-parametric estimation of the user.
Gauss
- 利用Gauss核密度估计求窗口宽度，只需导入源数据和修改窗口宽度即可计算最优的窗口宽度，方便，简单，实用-Use Gauss kernel density estimation window width requirements, simply import the source data and modify the window width to calculate the optimal width of the window, convenient, simple, practical
KDE
- 对6个样本点，进行直方图估计核高斯核密度估计-for 6 sample points, histogram estimation and Gauss kernel density estimation
KSDENSITY
- 以最优的窗宽进行核密度估计，误差小，比matlab自带程序精确-To the best window width nuclear density estimation, a small error, accurate than matlab own procedures
04
- 核密度估计，绘制频率直方图、核密度估计图、正态分布密度图-Kernel density estimation, drawing frequency histograms, kernel density estimation map, normal density map
density
- 计算核密度估计的一个程序，内置多种函数。可以修改原始数据。-Computing kernel density estimation program built many functions. You can modify the original data.
kde
- 给定样本点，采用高斯核密度估计，求出概率密度分布函数。(It is good to use this method to evaluate pdf)
matlab程序
- matlab编程绘制经验分布和核密度分布估计图等，用于金融计量分析(Using matlab programming to draw the empirical distribution and nuclear density distribution estimation graph for financial metrology analysis)
kernel density estimate
- 核密度估计得背景提取的改进，通过关键桢获得背景模型(Improvement of background extraction of kernel density estimate)