基于OpenMP并行计算的匹配追踪时频分析方法
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  • 英文篇名:A matching pursuit time-frequency analysis method based on OpenMP parallel computing
  • 作者:邓世广 ; 王淑艳 ; 赵文津 ; 刘志伟 ; 何润
  • 英文作者:Deng Shiguang;Wang Shuyan;Zhao Wenjin;Liu Zhiwei;He Run;China Earthquake Networks Center;Chinese Academy of Geological Sciences;The Marine Information Technology Research Institute Co.Ltd.,CETC;Northwest Branch,Research Institute of Petroleum Exploration & Development,PetroChina;
  • 关键词:并行计算 ; 匹配追踪 ; 时频分析 ; OpenMP ; 平滑伪Wigner-Ville分布
  • 英文关键词:parallel computing;;matching pursuit;;time-frequency analysis;;OpenMP;;smoothed-pseudo Wigner-Ville distribution(SPWVD)
  • 中文刊名:SYDQ
  • 英文刊名:Oil Geophysical Prospecting
  • 机构:中国地震台网中心;中国地质科学院;中电科海洋信息技术研究院有限公司;中国石油勘探开发研究院西北分院;
  • 出版日期:2018-06-01
  • 出版单位:石油地球物理勘探
  • 年:2018
  • 期:v.53
  • 基金:中国地质科学院基本科研业务费项目“深反射地震数据处理技术研究”(YYWF201506);; 国家重点研发计划课题“年尺度和短临强震发震紧迫程度判定技术研究”(2017YFC1500502);; 川滇国家地震监测预报实验场项目“四川长宁地震窗注水影响和机理研究”(2016CESE0101)联合资助
  • 语种:中文;
  • 页:SYDQ201803004
  • 页数:10
  • CN:03
  • ISSN:13-1095/TE
  • 分类号:4-5+29-36
摘要
基于匹配追踪的平滑伪Wigner-Ville分布具有良好的时频分辨率,但由于计算量过大,影响其在实际地震数据处理中的应用。在深入研究基于OpenMP的并行算法的基础上,本文将该并行计算方式应用于匹配追踪法对Morlet子波的寻优过程以及计算多个Morlet子波平滑伪Wigner-Ville分布。实际数据计算结果表明:该并行算法加速性能良好,加速比随线程数增加呈近线性增长,即在确保计算精度的情况下,能显著提高计算效率;而且计算量越大其加速性能体现越充分。
        The smoothed-pseudo Wigner-Ville distribution(SPWVD)based on matching pursuit has a high time-frequency resolution,but the calculation is extremely large in the matching pursuit algorithm and SPWVD calculation of all the wavelets.To improve the efficiency of this method,we propose a parallel computing method for the matching pursuit time-frequency analysis based on OpenMP.The searching process in the matching pursuit algorithm and the SPWVD calculation of all the wavelets are achieved in parallel.Field seismic data processing shows that the efficiency of the proposed parallel algorithm is significantly improved,and its computation precision is the same as the serial algorithm.Parallel calculation performance shows that the speedup grows linearly as the number of processors increases,and larger computation amount can fully exploit the advantage of multicore processors.
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