池越, 丁木, 周亚同, 白阳. 地震信号的Landweber迭代傅里叶快速重建[J]. 煤炭学报, 2018, (9): 2562-2569. DOI: 10.13225/j.cnki.jccs.2017.1482
引用本文: 池越, 丁木, 周亚同, 白阳. 地震信号的Landweber迭代傅里叶快速重建[J]. 煤炭学报, 2018, (9): 2562-2569. DOI: 10.13225/j.cnki.jccs.2017.1482
CHI Yue, DING Mu, ZHOU Yatong, BAI Yang. Fourier reconstruction of seismic signal with accelerated Landweber iteration[J]. Journal of China Coal Society, 2018, (9): 2562-2569. DOI: 10.13225/j.cnki.jccs.2017.1482
Citation: CHI Yue, DING Mu, ZHOU Yatong, BAI Yang. Fourier reconstruction of seismic signal with accelerated Landweber iteration[J]. Journal of China Coal Society, 2018, (9): 2562-2569. DOI: 10.13225/j.cnki.jccs.2017.1482

地震信号的Landweber迭代傅里叶快速重建

Fourier reconstruction of seismic signal with accelerated Landweber iteration

  • 摘要: 地震信号重建具有重要意义,其中傅里叶重建算法受到广泛关注。这些算法具有原理简单、纯数据驱动、假设前提少等优势,但也存在着重建速度慢等不足。以FRMN为基础,构建了一种新的Landweber迭代傅里叶快速重建算法(Fourier Reconstruction with accelerated Landweber Iteration,FRLI);该算法在经典的FRMN基础上,利用快速Landweber迭代求解傅里叶系数,再经过傅里叶反变换重建地震信号。通过不同维数的地震信号重建实验,结果表明:FRLI与经典的FRMN和FRSI重建算法相比,大幅提高了重建速度,且重建效果良好。因此采用FRLI算法重建地震信号可以解决传统算法的缺陷。

     

    Abstract: The reconstruction of seismic signals is of great significance,and the Fourier reconstruction algorithm has re- ceived extensive attention. These algorithms have some advantages of simple principle,pure data drive and little as- sumption. However,there are also the shortcoming of slow computation speed. Therefore,on the basis of FRMN,the new algorithm of Fourier Reconstruction with accelerated Landweber Iteration (FRLI) was put forward. Based on the classical FRMN,the algorithm uses accelerated Landweber iteration to solve the Fourier coefficients. Then the seismic signals were reconstructed through the inverse Fourier transform. Through the reconstruction experiments of seismic sig- nals with different dimensions,the results show that the FRLI greatly improves the reconstruction speed and the recon- struction effect is better than the classic FRMN and FRSI reconstruction algorithms. Therefore,the FRLI algorithm for reconstructing seismic signals can solve the defects of traditional algorithms.

     

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