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We derive a general equation relating probability densities and as special cases we the obtain Gram-Charlier and Edgeworth series. This allows us to generalize these methods and clarify a number of issues pertaining to both probability theory and time-frequency analysis. In particular we show how the Gram-Charlier and Edgeworth series are related to the kernel method of time-frequency analysis. The approach allows us to construct densities that satisfy given constraints such as joint moments or conditional moments. Also, we show that the kernel has to be signal dependent and that to obtain a proper distribution it should be the ratio of two characteristic functions. 相似文献
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计及信号随机延时的电力系统小干扰概率稳定性分析 总被引:1,自引:0,他引:1
为了研究随机延时对电力系统小干扰稳定性的影响,基于阻尼转矩分析法提出了一种计算特征根相对于延时的灵敏度的方法,进而通过Gram-Charlier级数展开的方法,得到随机延时下电力系统临界特征根实部的概率密度函数,该稳定性分析方法具有计算快速、简便的优点;然后,对计及广域信号随机延时的电力系统稳定器进行了参数鲁棒设计。在基于OPNET-MATLAB的信息物理融合电网系统联合仿真平台中搭建了两区四机系统模型,通过蒙特卡洛模拟验证了所提特征根概率密度函数计算方法的正确性,并分析了不同延时特性对系统小干扰稳定的影响,最后通过两区四机算例验证了所提电力系统稳定器鲁棒性设计方法的有效性。 相似文献
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Xixin Cheng W.K. Li Philip L.H. Yu Xuan Zhou Chao Wang P.H. Lo 《Computational statistics & data analysis》2011,55(9):2590-2604
Construction of nonlinear time series models with a flexible probabilistic structure is an important challenge for statisticians. Applications of such a time series model include ecology, economics and finance. In this paper we consider a threshold model for all the first four conditional moments of a time series. The nonlinear structure in the conditional mean is specified by a threshold autoregression and that of the conditional variance by a threshold generalized autoregressive conditional heteroscedastic (GARCH) model. There are many options for the conditional innovation density in the modeling of the skewness and kurtosis such as the Gram-Charlier (GC) density and the skewed-t density. The Gram-Charlier (GC) density allows explicit modeling of the skewness and kurtosis parameters and therefore is the main focus of this paper. However, its performance is compared with that of Hansen’s skewed-t distribution in the data analysis section of the paper. The regime-dependent feature for the first four conditional moments allows more flexibility in modeling and provides better insights into the structure of a time series. A Lagrange multiplier (LM) test is developed for testing for the presence of threshold structure. The test statistic is similar to the classical tests for the presence of a threshold structure but allowing for a more general regime-dependent structure. The new model and the LM test are illustrated using the Dow Jones Industrial Average, the Hong Kong Hang Seng Index and the Yen/US exchange rate. 相似文献
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该文针对载机不同航迹条件下所得多时相UWB SAR图像灰度值存在较大起伏,严重影响了基于像素灰度值差异的变化检测算法性能,提出了一种基于邻域统计分布变化分析的UWB SAR隐蔽目标变化检测方法。该方法将Gram-Charlier展开理论同秩序滤波器相结合对多时相图像中每个像素邻域的统计分布进行估计,进而借助K-L散度理论对多时相图像邻域统计分布变化进行定量分析以检测目标对应的变化区域。实验结果表明,该文方法能够更好地适应不同航迹UWB SAR图像间灰度起伏的影响,取得更好的检测结果。 相似文献
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考虑电网静态安全风险的随机潮流计算 总被引:4,自引:2,他引:2
随机潮流能够比较全面地反映系统运行状态,对电网安全性风险评估起到重要作用。现有的随机潮流计算方法中,结合半不变量和Gram-Charlier展开级数的方法可快速且准确地计算节点电压和支路潮流的概率密度函数(probability distribution function,PDF)以及累积分布函数(cumulative distribution function,CDF)。以受时域和地域不均匀分布影响的系统当前运行状态为基础构造预想事故集,将全概率理论与半不变量法随机潮流相结合,提出一种考虑电网静态安全风险的随机潮流算法。对IEEE RTS 96节点实验系统的计算表明,该算法可快速、准确地评估系统当前运行状态的静态安全风险,具有实际应用价值。 相似文献