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kde2d
- fast and accurate state-of-the-art bivariate kernel density estimator
kde2d
- 二维核密度估计算法.以及最优化计算核宽度。-bivarite kernel estimation
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
kde2d
- 二维正态分布的检验函数，如果需要进行二维正态分布的检验，在你的程序运行前运行此程序，就可直接调用函数功能。-Dimensional normal distribution test function, if you need a two-dimensional normal distribution test, run your program before you run this program, you can directly
kde2d
- 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.
matlab-kde2d
- matlab下的二维核密度估计算法， 自动计算窗宽，测试过好用-Matlab under the two-dimensional nuclear density estimation algorithm, automatic calculation of window width, tested too easy to use
matlab二维核密度估计kde2d
- 二维核密度估计代码的代码，能够提供二维的概率估计(two-dimensional kernal density estimation)
kde2d
- 高斯核密度算法，短时傅里叶变化，计算高斯核函数的权重(Gauss kernel density algorithm, short time Fourier change, calculation of the weight of Gauss kernel function)