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high order statistic     
相关语句
  高阶统计量
     Based on the image energy and high order statistic (HOS) theory, background reconstruction constraint con-ditions are setup.
     利用图像能量、高阶统计量理论,建立背景约束准则,运用块处理技术对序列场景进行快速背景重建,依靠重建背景进行运动区域检测。
短句来源
     Based on the image energy,high order statistic(HOS),prediction theory and block processing techniques,background of high speed dense visual target motion sequences is reconstructed,and motion states are studied.
     然后综合图像能量、高阶统计量预测理论以及块处理技术 ,对高速密集图像序列进行快速背景重建、运动区域提取与运动分析 .
短句来源
     The key of the method is to analyze the feature of high order statistic of seismic signal based on high order statistic.
     该方法的关键是依据高阶统计量原理 ,分析地震信号的高阶统计量特征。
短句来源
     A study was made of the high order statistic method for the extraction of fault features of ball bearings, a fault diagnosis method of ball bearings was proposed based on bispectrum evaluation.
     对高阶统计量方法用于滚动轴承故障特征提取进行了研究,提出了基于双谱估计的滚动轴承故障诊断方法。
短句来源
     The inversion result shows that the resolution of the wavelet inversion obtained with the high order statistic method is obviously improved,the sandstone reservoirs and lateral distributional range both on the carboniferous top and bottom are recognized by using the wavelet inversion profile extracted with high order statistics,by which reliable basis is provided for studying the sandstone reservoirs.
     对比反演结果发现,高阶统计量方法提取的子波反演结果分辨率明显提高,提取的子波反演剖面较好地分辨出石炭系顶、底部薄砂岩储层及其横向分布范围,为薄砂岩储层油气藏研究提供了可靠的分析依据。
短句来源
更多       
  高阶统计
     A novel intrusion detection method was presented, in which the independent component analysis approach was used to acquire the high order statistic information of intrusion action mode and mapped the input mode space into the corresponding independent component space. Then the generalized maximal margin hyperplane was constructed in the independent component space using the powerful feature of the support vector machine(SVM) for small samples and high dimension data generalization.
     提出了一种入侵检测方法,该方法采用独立成分分析方法获取入侵行为模式的高阶统计信息,并将输入模式空间映射到相应的独立成分空间,然后利用支持向量机对小样本、高维数据泛化能力强的特点,在独立成分空间中用支持向量机原理构造广义最优分类超平面.
短句来源
     Based on spectral fatigue life estimate theory and Hermite polynomial extension of non-Gaussian Possibility density function and three dimensions high order statistic, a new method is theoretically deduced to estimate fatigue life under non-Gaussian random stresses, and is demonstrated with numerical examples under Gaussian stress, sub-Gaussian stress and super-Gaussian random stresses.
     基于随机应力载荷的频域疲劳基本理论,利用非高斯概率密度函数的Hermite多项式渐近展开,利用其三维联合高阶统计特征,推导得到了非高斯随机应力载荷下疲劳寿命估计公式,并针对高斯、亚高斯和超高斯随机应力载荷进行了验证。
短句来源
  高阶累积量
     In this dissertation, high order statistic theory and adaptive technique is used to detect and enhance line spectrum.
     本文主要利用高阶累积量这一现代信号处理的理论和方法,结合自适应技术,对单频信号及包含线谱成分的信号进行检测、估计和线谱增强。 本文的主要研究工作如下:
短句来源
     We introduce the mean square error(MSE),image entropy and high order statistic to analyze defocus models.
     针对常用的离焦退化模型,引入图像均方差(MSE)、图像熵及高阶累积量3种分析评价方法。
短句来源
     Simulation experiments prove the validity of image entropy and high order statistic,because their evaluation conclusions are same as that by using MSE which is based on reference image.
     在最优退化模型分析的仿真实验中,图像熵和高阶累积量取得了与需要参考图像的MSE一致的结论,从而证实了其有效性。
短句来源
     This paper introduces some algorithms for background extraction, and presents a new algorithm for background extraction based on image block energy and high order statistic theory(HOS), and background reconstruction constraint conditions are setup.
     介绍了几种常用的背景提取算法,提出一种新的算法,利用图像块能量、高阶累积量建立背景约束的准则。
短句来源
  高阶统计特征
     Based on spectral fatigue life estimate theory and Hermite polynomial extension of non-Gaussian Possibility density function and three dimensions high order statistic, a new method is theoretically deduced to estimate fatigue life under non-Gaussian random stresses, and is demonstrated with numerical examples under Gaussian stress, sub-Gaussian stress and super-Gaussian random stresses.
     基于随机应力载荷的频域疲劳基本理论,利用非高斯概率密度函数的Hermite多项式渐近展开,利用其三维联合高阶统计特征,推导得到了非高斯随机应力载荷下疲劳寿命估计公式,并针对高斯、亚高斯和超高斯随机应力载荷进行了验证。
短句来源

 

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      high order statistic
    Secondly, based on the image energy and high order statistic(HOS) theory, background reconstruction constraints are setup.
          


    A study on the test of structure selection of Block-oriented nonlinear model is pressented.Block-oriented nonlinear models character a partial feature of Volterra kernels only and extract partial higher-order statistical information.Different structure concerns with different higher-order statistics.The prediction performance is improved when a correct model is chosen.In accordance with nonlinear orthogonal projection theorem,correlation between error and all possible combinations...

    A study on the test of structure selection of Block-oriented nonlinear model is pressented.Block-oriented nonlinear models character a partial feature of Volterra kernels only and extract partial higher-order statistical information.Different structure concerns with different higher-order statistics.The prediction performance is improved when a correct model is chosen.In accordance with nonlinear orthogonal projection theorem,correlation between error and all possible combinations of data can be used to determine which kind of Block-oriented nonlinear model is appropriate.The results of simulation studies are included to illustrate the validity of the conclusions.

    研究了非线性Block-oriented模型的结构选择。Block-oriented模型部分地表征了非线性Volterra核,提取部分的高阶统计信息,不同的非线性结构提取不同的统计信息,通过选用正确的结构,使预测的性能得到改善。根据非线性投影原理,利用预测误差和数据各种组合间的相关性,来确定合适的非线性Block-oriented模型,并给出计算机模拟结果。

    During recent years, the growth of research in higher order spectral estimation technique has been further developed and higher order statistics has found wide application in many diverse fields. In this paper, a brief review of developing history of higher order spectral estimation technique is provided and the advance of methods of bispectrum (third order spectrum) estimation is emphatically presented.

    近年来,对高阶谱(Higher-Order spectrum或Polyspectra)估计技术的研究得到新的发展,且高阶统计方法在许多领域中得到应用.本文对高阶谱估计技术的发展历史进行了简单的回顾,并着重介绍了双谱(Bispectrum)也称三阶谱(Third-Order Spectrum)估计方法的新进展.

    An improved algorithm which is based on the recursive closed-form algorithm for non-minimum phase FIR system identification via higher order statistics is presented. In order to increase the parameter estimation accuracy, the improved algorithm uses the optimal iterative method for nonlinear least-square solition. Finally the simulation examples are also given.

    本文根据基于高阶统计量辨识非最小相位FIR系统的线性算法之一——递归封闭型算法,提出了一种利用非线性最小二乘解的优化迭代方法提高参数估计精度的改进算法,最后还给出了仿真实例。

     
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