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2下载:
核密度估计的Python源代码,用于核方法估计-Kernel Density Estimation
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基于k近邻估计法的非参数概率密度估计论文及源代码的如何实现-K-nearest neighbor nonparametric probability density estimation method based on the estimated
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此文件为数字信号处理music,burg算法估计功率谱密度-This file is a music digital signal processing, power spectrum density estimation Burg algorithm
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序列x(n)的Welch法求其功率谱密度估计,先产生噪声序列再绘制波形最后用Welch法估计功率谱。-The sequence of X (n) for the Welch power spectrum density estimation method, first noise sequence waveform drawing and using Welch power spectrum estimation method.
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用非参数估计的方法(核密度估计)来估计互信息-Nonparametric estimation method (kernel density estimation) to estimate the mutual information
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复杂环境下基于人群密度估计和人群运动检测的异常事件检测。-Complex environment based on population and population density estimation motion detection of abnormal events detected.
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kernel density estimation based on fast marching method
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核函数估计(一元,高斯核函数),包括带宽优化-kernel density estimation (KDE) is a non-parametric way to estimate the probability density function of a random variable.
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核密度估计,matlabkernel density estimation是在概率论中用来估计未知的密度函数,属于非参数检验方法之一,由Rosenblatt (1955)和Emanuel Parzen(1962)提出,又名Parzen窗(Parzen window)。Ruppert和Cline基于数据集密度函数聚类算法提出修订的核密度估计方法。-kernel density estimation
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Multispectral remotely sensing imagery with high
spatial resolution, such as QuickBird, IKONOS satellite
imagery or Aerial imagery, especially in urban scenes, often
perform spectral variations and rich details within a category,
resulting in
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双音多频DTMF
使用功率谱密度估计解码-Dual-tone multi-frequency DTMF decoding using the power spectral density estimation
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用KDE和密度估计方法实现行人检测,该方法亲测有效.-Pedestrian detection using KDE kernel density estimation.
The method is effective.
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MeanShift算法是一种无参概率密度估计法,算法利用像素特征点概率密度函数的梯度推导而得, MeanShift算法通过迭代运算收敛于概率密度函数的局部最大值,实现目标定位和跟踪,也能对可变形状目标实时跟踪,对目标的变形,旋转等运动也有较强的鲁棒性。MeanShift算法是一种自动迭代跟踪算法,由 MeanShift补偿向量不断沿着密度函数的梯度方向移动。在一定条件下,MeanShift算法能收敛到局部最优点,从而实现对运动体准确地定位。-MeanShift algorithm is a no
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二维核密度估计,可以实现二维或多维的和密度估计函数-Two-dimensional kernel density estimation, can be achieved two-dimensional or multidimensional and density estimation function
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小波变换阈值去噪的文章,基于最大最小准则计算-Minimax Estimation, Adaptive Estimation, Nonparametric
Regression, Density Estimation, Spatial Adaptation, Wavelet Orthonormal bases, BesovSpaces, Optimal Recovery.
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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
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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
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核密度KDE估计程序 开发环境matlab 不错的源码 推荐一下-KDE nuclear density estimation procedure development environment of matlab source code recommend
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核密度KDE估计程序 开发环境matlab 不错的源码 推荐一下-KDE nuclear density estimation procedure development environment of matlab source code recommend
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核密度KDE估计程序 开发环境matlab 不错的源码 推荐一下-KDE nuclear density estimation procedure development environment of matlab source code recommend
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