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时频域自动识别与压制高频噪声
引用本文:王在民,朱鹏飞,于浩业,郭宏宪,其其格,蒋立.时频域自动识别与压制高频噪声[J].石油地球物理勘探,2006,41(1):93-96.
作者姓名:王在民  朱鹏飞  于浩业  郭宏宪  其其格  蒋立
作者单位:新疆油田公司勘探开发研究院地球物理研究所处理中心,新疆油田公司勘探开发研究院地球物理研究所,新疆油田公司勘探开发研究院地球物理研究所,新疆油田公司勘探开发研究院地球物理研究所,新疆油田公司勘探开发研究院地球物理研究所,新疆油田公司勘探开发研究院地球物理研究所 新疆乌鲁木齐市北京北路47号830011
基金项目:本项研究得到了新疆油田公司勘探开发研究院地球物理研究所领导邵雨,处理中心领导娄兵等的大力支持和帮助,在此深表感谢:对毛海波、彭立等高级工程师的协作一并表示感谢.
摘    要:本文在分析张宇等及钱忠平等提出的高频噪声判别准则基础上,利用夏洪瑞等根据在窄档等频距小波分频之后识别、压制高频噪声的思路,提出在时频域将代表地震道主要能量的几个频带的平均振幅绝对值作为正常子波的平均振幅绝对值,以此来识别和压制高频噪声的异常振幅。实际处理结果表明,此法不仅可以压制高频谐振及高频突发噪声,而且可以保护弱地震反射信号不受损害。

关 键 词:高频噪声  振幅  小波变换  识别  压制
收稿时间:2005-07-01
修稿时间:2005-07-012005-10-12

Automatic recognition and suppression of high-frequency noises in time-frequency domain
Wang Zai-min,Zhu Peng-fei,Yu Hao-ye,Guo Hong-xi-an.Qiqige and Jiang Li Wang Zai-min,Processing Center of GRI,Urumqi City,Xinjiang Uygur Autonomous Region,China.Automatic recognition and suppression of high-frequency noises in time-frequency domain[J].Oil Geophysical Prospecting,2006,41(1):93-96.
Authors:Wang Zai-min  Zhu Peng-fei  Yu Hao-ye  Guo Hong-xi-anQiqige and Jiang Li Wang Zai-min  Processing Center of GRI  Urumqi City  Xinjiang Uygur Autonomous Region    China
Affiliation:Wang Zai-min,Zhu Peng-fei,Yu Hao-ye,Guo Hong-xi-an.Qiqige and Jiang Li Wang Zai-min,Processing Center of GRI,Urumqi City,Xinjiang Uygur Autonomous Region,830011,China
Abstract:On the basis of analyzing the norm of recognizing high-frequency noises presented by Mr. Zhag Yu and Mr. Qian Zhong-ping and using the idea that recognition and suppression of high-frequency noises after frequency division of wavelet in equal frequency components within a narrow band presented by Mr. Xia Hong-rui et al. ,the paper presented that in time-frequency domain taking absolute values mean amplitude in several bands representing main energy in seismic traces as absolute values of mean amplitude of normal wavelet to recognize and suppress the abnormal amplitudes of high-frequency noises. The results of practical processing showed that the method not only suppresses high-frequency harmonics and high-frequency pulse noise,but also can protect the weak seismic reflection signals from damage.
Keywords:high-frequency noise  amplitude  wavelet transform  recognition  suppression
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