Non-Gaussian相关论文
Since the distribution of sate variables of satellite orbit estimation is non-Gaussian,the particle filtering algorithm ......
External Analysis and Moving Window LoOP based process monitoring for a class of multi-mode time-var
Moving window local outlier probability(MWLoOP)is an outlier detecting method which was proposed for monitoring time-var......
Diffusion kurtosis imaging-based histogram analysis provides additional value for evaluation of whit
Purpose: To evaluate the value of diffusion kurtosis imaging (DKI) and diffusion tensor imaging (DTI) histogram analysis......
Variational Quality Control of Non-Gaussian Innovations in the GRAPES m3DVAR System: Mass Field Eval
The existence of outliers can seriously influence the analysis of variational data assimilation.Quality control allows u......
It is shown that the non-Gaussian operations can not only be used to prepare the nonclassical states, but also to improv......
Brownian particles suspended in disordered crowded environments often exhibit non-Gaussian normal diffusion(NGND),whereb......
The moment-based Hermite polynomial function model approach is often used to estimate the extreme value distribution......
The minimum entropy deconvolution is considered as one of the methods for decomposing non-Gaussian linear processes. The......
As a new method for dealing with any nonlinear or non-Gaussian distributions, based on the Monte Carlo methods and Bayes......
In this paper, we have introduced a shell-model of Kraichnan’s passive scalar problem. Different from the original prob......
Effect of Multipoint Heterogeneity on Nonlinear Transformations for Geological Modeling: Porosity-Pe
An analysis of statistical expected values for transformations is performed in this study to quantify the effect of hete......
本文对沪深及香港股市指数收益率进行实证分析,通过偏度、 峰度、JB统计量的计算和KS检验,发现实际收益率分布的尖峰厚尾特征十分......
Control method for multi-input multi-output non-Gaussian random vibration test with cross spectra co
该文从挂篮荷载计算、施工流程、支座及临时固结施工、挂篮安装及试验、合拢段施工、模板制作安装、钢筋安装、混凝土的浇筑及养生......
多输入多输出(MIMO)振动环境试验是振动试验的新方法,该方法比传统的单输入单输出(SISO)方法更真实地模拟了结构在实际工作下的振......
Recent extensive measurements of real-life traffic demonstrate that the probability density function of the traffic is n......
针对复杂工业过程中的多操作、非高斯等问题,提出了一种基于局部组标准化的多模型动态主元分析(LGS-MMDPCA)在线监测新方法。由于......
目的 评价扩散峰度成像(DKI)直方图分析在评价血管性认知功能障碍(VCI)患者脑白质损害中的价值,明确DKI在评价脑组织结构变化中的......
经典变分同化基于误差服从高斯分布理论,在同化受云影响的红外探测器通道亮温时,需进行云检测或只同化权重函数峰值位于云顶之上的......
Recent extensive measurements of real-life traffic demonstrate that the probability density function of the traffic is n......
To validate the potential space-time adaptive processing (STAP) algorithms for airborne bistatic radar clutter suppressi......
Effect of Multipoint Heterogeneity on Nonlinear Transformations for Geological Modeling: Porosity-Pe
An analysis of statistical expected values for transformations is performed in this study to quantify the effect of hete......
基于空间平滑技术和矩阵重构技术，提出了一种相干信源下波达方向估计的新算法。算法在非高斯冲击噪声下，能对波达方向进行有效地估计......
在非平稳非高斯背景噪声下,使用经典信号检测理论对信号进行检测往往难以达到理想的效果.文中利用小波包变换,通过将信号及噪声变......
This paper addresses the harmonic retrieval problem in non-Gaussian ARMA noise. A hybrid ESPRIT approach using second-an......
文中利用最小二乘估计对每一像素邻域的相关长度取最优值，并依据相关长度对相关矩阵采取了一种新的处理方法，解决了非平稳图像像素邻......
Based on adiabatic approximation theory,in this paper we study the asymmetric stochastic resonance system with time-dela......
Significant and persistent trajectory-to-trajectory variance are commonly observed in particle tracking experiments,whic......
无记忆非线性变换是传统非高斯随机过程模拟中经常使用的方法,然而,用于模拟同时具有指定功率谱密度、偏斜度和峭度值的非高斯随机......
采用广义匹配滤波器在功率谱未知的非高斯噪声中检测宽带信号。在估计功率谱时，为减小周期图法谱估计产生的误差，采用了平滑周期图法......
偏斜非高斯振动信号幅值概率密度没有明确、简洁的解析表达式.研究概率密度的解析表达式,对于非高斯振动理论研究具有重要意义.针......
研究随机振动下三层堆码包装产品加速度响应的非高斯特征，讨论引起非高斯响应的原因。试验结果表明：无约束条件下，上层包装件出现明显......
During environment testing,the time histories of some dynamic environments follow non-Gaussian distribution. It is alway......
Online Predictive Monitoring and Prediction Model for a Periodic Process Through Multiway Non-Gaussi
一新为周期的生物过程的联机预兆的监视和预言模型被建议用多方法 non-Gaussian 建模。这条途径的基本想法是多使用方法 non-Gauss......
Performance Analysis of Outage Probability and Error Rate of Square M-QAM in Mobile Wireless Communi
This paper derives new and ex-act closed-form expressions for the averagesymbol error rate （SER） of square M-aryquadrature......
加权最小二乘估计是一种兼具精度与速度的非高斯自回归序列参数估计的优秀算法．使用混合高斯自回归模型描述估计问题之后，又从最大似......
自回归模型参数的最小二乘估计应用于非高斯数据,有效性便不复存在,而充分利用了概率密度信息的最大似然估计却仍然是该问题的有效......
地震信号通常都被认为是服从高斯分布的。研究了实际地震信号的动态样本方差特征，假定地震信号是服从非高斯α稳定分布的。对于非高......
结合了传统电动振动台和全轴振动台的优点，提出了一种基于常规电动台的非高斯随机振动控制技术。首先用散弹噪声方法生成了一种均值......
基于响应前四阶统计矩研究了在偏态系数和峰度系数取值范围不同时Gram-Charlier渐进展式、Edgeworth渐进展式和Fleishman多项式3种......
常规扩散加权成像（DWI）在超高b值时,单指数模型不再适用,细胞外间隙水分子的扩散偏离高斯分布,需要更复杂的模型来分析这种非高斯扩......
根据肺音信号的非高斯随机特性，建立了肺胞系统非高斯ＡＲ模型。应用高阶累积量技术对肺音信号进行参数化双谱估计，并提取肺音源特征和肺......
非高斯随机现象普遍存在于工程、自然界和社会生活中。在非高斯随机激励下的系统响应研究中，获取具有目标特征的平稳非高斯乃至非平......
现代工业过程数据往往具有较强的动态和非高斯特性,在原有方法的基础上,提出了一种改进的动态主元分析（MDP-CA）方法来处理过程数据的......
为了提高多模态化工过程非高斯变量监测的准确性,针对传统方法采用静态控制限不能排除过程噪声干扰而产生大量误报警的问题,提出一......
针对地球物理反演中广泛采用的“噪声高斯分布假设”,本文研究了叠前地震资料中噪声的非高斯分布特征,提出了针对非高斯噪声的地震......
屋面覆盖物在大风中容易遭到破坏，而屋面的破坏可能引起雨水渗透而导致房屋内部受到更大的损害。因此文章基于西安大略大学风洞试验......
Different from other domestic and foreign research in which the optimum interpolation (Ol) merging algorithm is commonly......
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针对复杂工业过程中的多工况和非高斯信息问题，提出一种基于外部分析的ICAPCA（independent component analysis and principal compo......
工业过程中普遍存在噪声污染,本文在概率主元分析方法（PPCA）的基础上,把该方法推广到非高斯过程,提出一种新的基于概率独立成分分析（P......
