| 高阶统计量方法在地震信号分析中的应用 |
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| 引用本文： | 邢贞贞,韩立国,王宇,秦雪霏.高阶统计量方法在地震信号分析中的应用[J].吉林大学学报(地球科学版),2007(Z1). |
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| 作者姓名： | 邢贞贞 韩立国 王宇 秦雪霏 |
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| 作者单位： | [1]吉林大学地球探测科学与技术学院 [2]中海石油有限公司湛江分公司 [3]吉林大学地球探测科学与技术学院 长春 [4]广东湛江 |
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| 摘 要： | 高阶统计量分析是近20年来国内外信号处理领域的一个前沿课题,广泛应用于所有需要考虑非高斯、非最小相位、有色噪声、非线性或循环平稳性的各类问题中。在地震信号处理方面,应用高阶统计可以消除高斯有色噪声的影响和提取与识别非最小相位子波;基于高阶统计特征的独立分量分析己成为信号处理领域的一个研究热点并应用于地震信号分析中。对高阶统计量的定义和性质以及高阶谱时频分析方法作了介绍,并以此为理论依据,进行了理论模型和实际地震数据的实验。
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| 关 键 词： | 高阶统计量 地震信号分析 高阶谱时频分析方法 |
Application of High-Order Statistics in Seismic Signal Analysis |
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| XING Zhen-zhen,HAN Li-guo,WANG Yu,QIN Xue-fei .College of GeoExploration Science and Technology,Jilin University,Changchun ,China .Zhanjiang Company CNOOC,Zhanjiang,Guangdong,China.Application of High-Order Statistics in Seismic Signal Analysis[J].Journal of Jilin Unviersity:Earth Science Edition,2007(Z1). |
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| Authors: | XING Zhen-zhen HAN Li-guo WANG Yu QIN Xue-fei College of GeoExploration Science and Technology Jilin University Changchun China Zhanjiang Company CNOOC Zhanjiang Guangdong China |
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| Institution: | XING Zhen-zhen1,HAN Li-guo1,WANG Yu2,QIN Xue-fei1 1.College of GeoExploration Science and Technology,Jilin University,Changchun 130026,China 2.Zhanjiang Company CNOOC,Zhanjiang,Guangdong,524000,China |
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| Abstract: | High-order statistics analysis is in front of domestic and international signal processing realm nearly twenty years,is applied to all problem that need to be considered as non-gauss,non-minimum phase,non-linear and circular stationary.In the seismic signal process realm,high-order statistics can be used to eliminate color noise,identify and estimate non-minimum phase wavelet.Independent component analysis based on high-order statistics has become the hotspot of signal processing realm and have been applied in seismic signal analysis.The definitions and properties of HOS and the high-order statistical time-frequency analysis are introduced in this thesis.And we use this theory to do some simulation tests and real seismic data tests. |
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| Keywords: | high-order statistics seismic signal analysis the high-order statistical time-frequency analysis |
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