• 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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  • A new image recognition method based on high-order statistics is proposed.

    提出基于图像高阶统计量的识别算法

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  • The background obtainment algorithm USES high order statistics and low order statistics.

    采用了统计阶统计量相结合为度量的背景提取算法

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  • Traditionally, blind channel identification and equalization are all based on high order statistics.

    传统盲信辨识均衡基于统计算法

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  • However, if the source signals have temporal structures, only the second-order statistics can work well.

    如果信号具有时序结构使用统计量信息就可以很好地分离源信号。

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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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  • 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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  • Applications in some special models of sequential order statistics and in the NHPB process are also presented.

    并且给出了主要结果特殊次序统计模型以及非齐次纯生过程中的应用

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  • Based on the second order statistics, an algorithm is proposed to separate mixed complex-value signals online.

    基于统计量,对在线分离复值混合信号法进行了研究。

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  • A digital transmission technology based on high - order statistics modulation has been proposed in this article.

    提出一种基于统计量调制数字传输技术

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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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  • The image noise filters are classified into optimal filters, adaptive weighted mean filters, and order statistics filters.

    本文将图象噪声滤波器分为最佳滤波器、自适应加权均值滤波器顺序统计滤波器三类。

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  • A method on weak signal detection in a stronger noise background based on high-order statistics is presented in this paper.

    提出了一种利用高阶统计量对噪声背景下信号进行检测方法

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  • The Order Statistics Constant Alarm False Rate (OS CFAR) processing is an important method in modern radar signal processing.

    有序统计处理(OS- CFAR)现代雷达信号处理的一种重要方法

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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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  • This method USES the mean image to generate the domain pool, then, classes the domain blocks according to their high order statistics.

    方法利用图像均值图像设计编码码书,利用统计量进行分类,可以有效地减少域中域块之间的相关性。

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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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  • A time-domain Multi-Stage Algorithm(MSA) based on the second order statistics for blind source separation of convolutive mixtures is proposed.

    该文提出一种基于统计量时域多步分解算法求解卷积混合分离问题。

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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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  • Traditionally, blind channel identification and equalization are all based on high order statistics, which are known to suffer from many drawbacks.

    传统盲信辨识均衡都是基于统计算法从而存在许多弊端

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  • The steps are as follows: First, motion area is extracted based on high-order statistics detection method and motion information of multiple frames.

    基本思想首先根据多帧帧差信息,基于高阶统计检测方法提取运动区域

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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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  • Objective: the purpose of this study was to compare the performance of regression on order statistics(ROS) and substitution methods in estimation of nondetects.

    目的比较用于处理包含未检出值痕量测定数据次序统计量回归方法经典替换方法的估计效果。

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  • Objective: the purpose of this study was to compare the performance of regression on order statistics(ROS) and substitution methods in estimation of nondetects.

    结果:数据服从正态对数正态分布时,次序统计回归效果明显优于简单替换法;资料服从非正态分布资料时,次序统计量回归方法没有明显优势。

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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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  • 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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