Table-Driven 2-D non-uniform sampling fast Fourier transform
文献类型:期刊论文
作者 | Xiong Deng; Zhang Jian-Feng |
刊名 | CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
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出版日期 | 2008-11-01 |
卷号 | 51期号:6页码:1860-1867 |
关键词 | Nonuniform samplings NFFT FFT |
ISSN号 | 0001-5733 |
文献子类 | Article |
英文摘要 | Non-uniform sampling fast Fourier transform (NFFT) is a method for efficient spectrum calculation of nonequispaced data. It's the fundamental algorithm of reconstruction techniques by spectra estimation of irregularly sampled signals. High efficiency and precision is the key for its application. In order to achieve high performance for 2-D cased I utilize table-riven techniques to reformulate Gauss convolution operator into elliptic form to reduce numerical operations and substitute exp function by multiplication operation to accelerate computing efficiency. I also create several tables to introduce NFFT to seismic data processing. Based on these works I explain how to reconstruct nonuniform sampled seismic data via 2-D NFFT. At last three numerical experiments are shown to illustrate computation speed, calculation accuracy and reconstruction results for irregular sampled seismic data respectively. |
WOS关键词 | RECONSTRUCTION ; SIGNALS |
WOS研究方向 | Geochemistry & Geophysics |
语种 | 英语 |
WOS记录号 | WOS:000261313500028 |
出版者 | SCIENCE PRESS |
源URL | [http://ir.iggcas.ac.cn/handle/132A11/69423] ![]() |
专题 | 中国科学院地质与地球物理研究所 |
通讯作者 | Xiong Deng |
作者单位 | Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China |
推荐引用方式 GB/T 7714 | Xiong Deng,Zhang Jian-Feng. Table-Driven 2-D non-uniform sampling fast Fourier transform[J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,2008,51(6):1860-1867. |
APA | Xiong Deng,&Zhang Jian-Feng.(2008).Table-Driven 2-D non-uniform sampling fast Fourier transform.CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,51(6),1860-1867. |
MLA | Xiong Deng,et al."Table-Driven 2-D non-uniform sampling fast Fourier transform".CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION 51.6(2008):1860-1867. |
入库方式: OAI收割
来源:地质与地球物理研究所
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