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自适应径向道TFPF压制地震记录随机噪声

曹善舒 李月 吴宁

吉林大学学报(信息科学版)2016,Vol.34Issue(2):166-173,8.
吉林大学学报(信息科学版)2016,Vol.34Issue(2):166-173,8.

自适应径向道TFPF压制地震记录随机噪声

Self-Adaptive Radial-Trace TFPF for Seismic Random Noise Attenuation

曹善舒 1李月 1吴宁1

作者信息

  • 1. 吉林大学 通信工程学院,长春130012
  • 折叠

摘要

Abstract

Aiming at the issues that the conventional TFPF( Time-Frequency Peak Filtering)doesn’t consider the correlation between seismic channels and the radial-trace TFPF doesn’t consider the real direction of the reflected event and the reflected event is locally linear,we propose self-adaptive radial-trace Time-frequency peak filtering. The new method finds the direction of the reflected event in the local area by utilizing the self-adaptive function and maps the event to radial-trace area along the direction by RTT( Radial-Trace Transform),and can improve the linearity of the signal. Consequently,it is more close to the unbiased TFPF and can reduce the error caused by the low linearity. Experiment results indicate that this method can provide better performance in both random-noise attenuation and reflected signal preservation. When selecting same window length,the method can increase the SNR( Signal-to Noise Ratio)by 5 dB more than traditional TFPF and 3 dB more than radial-trace TFPF.

关键词

时频峰值滤波/径向道变换/自适应函数/窗长/随机噪声

Key words

time-frequency peak filtering( TFPF )/radial-trace transform( RTT )/self-adaptive function/window length( WL)/random noise

分类

信息技术与安全科学

引用本文复制引用

曹善舒,李月,吴宁..自适应径向道TFPF压制地震记录随机噪声[J].吉林大学学报(信息科学版),2016,34(2):166-173,8.

基金项目

国家自然科学重点基金资助项目(41130421);国家自然科学基金资助项目 ()

吉林大学学报(信息科学版)

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