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[Special Effectsgkde

Description: Gaussian Kernel Density Estimation with Bounded Support
Platform: | Size: 48400 | Author: baolij | Hits:

[Special Effectsgkde

Description: Gaussian Kernel Density Estimation with Bounded Support
Platform: | Size: 48128 | Author: baolij | Hits:

[Special Effectsdectect

Description: 基于高斯核密度模型的运动目标检测,适合图像处理专业人员参考-Based on the Gaussian kernel density model of moving target detection for image processing professionals reference
Platform: | Size: 2006016 | Author: | Hits:

[Communication-Mobilegkde

Description: Gaussian Kernel Density Estimation Demonstration
Platform: | Size: 49152 | Author: siminov | Hits:

[matlabgkdj

Description: 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 estimation.
Platform: | Size: 1024 | Author: william | Hits:

[OtherParzen-window

Description: 这是一个有关parzen窗估计的代码,用来估计概率密度函数。采用了方窗、指数窗、高斯窗函数三种核函数,附有matlab程序。-This is an estimate of the code related to parzen window, used to estimate the probability density function. With a side window, the index window, Gaussian window function three kinds of kernel function, with matlab program.
Platform: | Size: 56320 | Author: | Hits:

[DataMiningkde2d

Description: 二维高斯核函数重构 重构方法不依赖于参数化模型-2D Gaussian Kernel Reconstruction fast and accurate state-of-the-art bivariate kernel density estimator with diagonal bandwidth matrix. The kernel is assumed to be Gaussian. The two bandwidth parameters are chosen optimally without ever using/assuming a parametric model for the data or any rules of thumb . Unlike many other procedures, this one is immune to accuracy failures in the estimation of multimodal densities with widely separated modes
Platform: | Size: 4096 | Author: zty | Hits:

[OtherMutualInfo

Description: 通过高斯核密度估计计算多元变量之间的互信息熵-The mutual information entropy between multivariate variables is calculated by Gaussian kernel density estimation
Platform: | Size: 1024 | Author: 张毅 | Hits:

[OtherVolSurface

Description: 波动率曲面matlab实现,可应用于期权市场上的任意期权。(The function VolSurface.m will then: - compute and output the Black-Scholes implied volatility (this will be a matrix). - get and plot the corresponding volatility surface using a kernel (Gaussian) density estimation.)
Platform: | Size: 1024 | Author: Crimes777 | Hits:

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