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在运动的位置叠加噪声。进行JPDA概率数据关联及kalman滤波。
两运动目标在x-y平面做匀速直线运动。初始位置是(4000,1200)(300,1500)速度分别是(200,200)(400,200)传感器对量目标进行位置状态量测。
采样间隔T=1,点数n=80.检测概率为1,正确量测落入跟踪内的概率为0.99,杂波均匀分布的密度为2个/km2由RAND函数产生在[0,1]上均匀分布的随机变量,跟踪门限为9.21。
-Superimposed noise in the posit
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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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α稳定分布的几个函数,包括样本的生成,概率密度函数,累积分布函数等-Several functions α stable distribution, including sample generation, probability density function, cumulative distribution function, etc.
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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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偏t分布的概率密度函数(pdf)、累积分布函数(CDF)、分位数(quantiles)计算以及生成随机数的matlab代码。-Matlab code for calculating probability density function, cumulative distribution function, quantiles of the skewed-t distribution and generating the random samples
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根据概率密度分布,分割前景与背景,附有实验图片-According to a probability density distribution, segmentation foreground and background, experiment with picture
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计算目标和海洋回波的功率谱密度,表示出两帧图像间各个像素点的相对情况,包括回归分析和概率统计。- Calculating a target and ocean echo power spectral density, Between two images showing the relative circumstances of each pixel, Including regression analysis and probability and statistics.
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函数用于显示不同噪声的概率密度,含有高斯噪声,椒盐噪声,指数噪声等噪声。-The probability density function for displaying different noise containing Gaussian noise, salt and pepper noise, noise, noise index.
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要对单变量正态分布以及分类分布两种概率分布 模型,分别采用最大似然(ML),最大后验(MAP)以及贝叶斯估计(Bayes)的 方法进行概率密度估计。 -In this paper, the maximum likelihood (ML), maximum a posteriori (MAP) and Bayesian estimation (Bayes) methods are used to estimate the probability density of two kinds of pr
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此程序用于求彩色图像的概率密度,计算图像的特征(The probability density of color image)
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常用的盲分离算法有二阶统计量方法、高阶累积量方法、信息最大化(
Infomax
)以及独
立成分分析(
ICA
)等。这些方法取得最佳性能的条件总是与源信号的概率密度函数假设有关,
一旦假设的概率密度与实际信号的密度函数相差甚远,分离性能将大大降低。本文提出采用
核函数密度估计的方法进行任意信号源的盲分离,并通过典型算例与几种盲分离算法进行了
性能比较,验证了方法的可行性。(The commonly used blind separation algorithms include
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序贯蒙特卡洛算法,概率假设密度,目标跟踪,随机有限集(Sequential Monte Carlo algorithm, probability hypothesis density, target tracking, random finite set)
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关于学习混合高斯背景建模,其是基于像素样本统计信息的背景表示方法,利用像素在较长时间内大量样本值的概率密度等统计信息(如模式数量、每个模式的均值和标准差)表示背景。(Study on the mixed Gauss background modeling, the representation method of pixel sample statistics based on the background, the probability density statistics such as
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本实验的目的是学习Parzen窗估计和k最近邻估计方法。在之前的模式识别研究中,我们假设概率密度函数的参数形式已知,即判别函数J(.)的参数是已知的。本节使用非参数化的方法来处理任意形式的概率分布而不必事先考虑概率密度的参数形式。在模式识别中有躲在令人感兴趣的非参数化方法,Parzen窗估计和k最近邻估计就是两种经典的估计法。(The purpose of this experiment is to study the Parzen window estimation and the k nea
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用于Weibull分布概率密度函数拟合林分直径分布的代码,对其进一步的分析有一定的帮助!(The code of Weibull distribution probability density function fitting forest stand diameter distribution has certain help to its further analysis!)
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高斯模型就是用高斯概率密度函数(正态分布曲线)精确地量化事物,将一个事物分解为若干的基于高斯概率密度函数(正态分布曲线)形成的模型。(Gaussian model is to use Gaussian probability density function (normal distribution curve) to accurately quantify things, a thing is divided into several based on the Gaussian probabi
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Open source, GPL license.
Written in python (and a bit of C++), supports Linux, Windows, macOS/OSX.
Support of most VASP file formats and .xyz format.
Displays structure, unitcell, supercell, charge/probability/spin density, local potential, force
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用matlab仿真出了常用的分布如瑞利、对数正太分布、韦布尔分布的概率密度分布图。(Using MATLAB to simulate the distribution of the commonly used, such as Rayleigh distribution, logarithmic teenage boy Weibull distribution probability density distribution.)
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基于序贯蒙特卡洛的概率假设密度滤波算法的程序(2011A new method based on ant colony optimization for the probability hypothesis density filter)
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