• A new image recognition method using higher order statistics is proposed.

    提出基于统计量的图像识别算法

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  • It is shown that the higher order statistics approaches restrain effectively the effect of coloured noise.

    表明统计量方法可以有效地抑制有色噪声影响

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  • In chapter six, the application of higher order statistics in detection low-frequency noise of transistor is discussed.

    第六研究了统计量晶体管低频噪声检测中的应用

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  • In this paper, a new method of phase errors estimation based on higher order statistics is proposed for SAR imagery autofocus.

    提出基于统计量分析相位误差估计算法用于SAR图像自聚焦。

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  • First, block higher order statistics and threshold via local maximal between-cluster variance are used to get the motion detection mask.

    该算法首先利用分块统计算法基于最大类方差阈值算法得到目标运动区域检测模板

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  • Compared with the results of logging inversion and higher order statistics, this method is proved to be feasible in reservoir prediction.

    经过与井资料反演统计量分析结果对比验证,证明了方法储层预测的可行性

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  • This paper studies a statistical seismic wavelet estimation method, which based on higher order statistics and the hybrid ant colony algorithm.

    本文重点研究统计方法中,基于统计混合算法地震子波估计方法。

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  • An algorithm extracting video object is proposed by utilizing the HOS (higher order statistics) and multi-resolution watershed algorithm in video sequences.

    提出了统计运动检测多尺度分水岭相结合的视频目标分割算法

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  • One of the primary applications of higher order statistics has been for the time delay estimation of non-Gaussian signal in Gaussian spatially correlated noise.

    统计量信号处理成功应用例子之一估计高斯相关噪声中非高斯信号的时延参数。

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  • Herein, a new simpler and faster algorithm was introduced based on higher order statistics, which could overcome the problem of nonlinear function and step choice.

    针对此问题,提出基于统计快速分离算法算法可以有效地避免上述问题。

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  • This paper proposes the higher order statistics method by which the seismic wavelet taken is more similar to the real seismic wavelet taken by the conventional method.

    提出计量法求取的地震,比用常规方法提取的子波接近真实的地震子波。

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  • The problems of harmony between sample number and calculation time, as well as between sample number and sample quality in higher order statistics calculation were achieved.

    应用优化算法高度并行、种群个体收敛高度一致特性,较好的解决高维统计计算样本数量计算时间、样本数量样本质量之间难以协调的问题。

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  • This paper deals with the closed form recursive estimation for parameters of almost periodic moving average (APMA) signal using higher order cyclic statistics.

    本文利用循环统计量讨论几乎周期滑动平均(apma)信号参数闭式递推估计

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  • At same time the paper introduce some theoretic such as higher-order statistics, artificial neural network.

    本文同时介绍了一些神经网络和高累计量算法的概念和方法。

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  • The main works are listed as follows:1) Based on higher-order statistics technique, a new method for differential pressure fluctuation signal analysis of gas-liquid two-phase flow is proposed.

    基于高阶统计量技术提出了气液两相波动信号分析方法

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  • The algorithm has less computation process and higher computation precision than the traditional blind equalization method based on second-order statistics.

    算法具有传统基于二阶统计均衡算法计算过程计算精度较高

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  • The algorithm has less computation process and higher computation precision than the traditional blind equalization method based on second-order statistics.

    算法具有传统基于二阶统计均衡算法计算过程计算精度较高

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