中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
The Hilbert-Huang Transform-Based Denoising Method for the TEM Response of a PRBS Source Signal

文献类型:期刊论文

作者Li Hai1,2; Xue Guo-qiang1; Zhao Pan1,2; Zhong Hua-sen1,2; Khan, Muhammad Younis1,3
刊名PURE AND APPLIED GEOPHYSICS
出版日期2016-08-01
卷号173期号:8页码:2777-2789
关键词Hilbert-huang Transform Empirical Mode Decomposition Pseudo-random Binary Sequences Denoising
DOI10.1007/s00024-016-1308-x
文献子类Article
英文摘要The denoising process is critical in processing transient electromagnetic (TEM) sounding data. For the full waveform pseudo-random binary sequences (PRBS) response, an inadequate noise estimation may result in an erroneous interpretation. We consider the Hilbert-Huang transform (HHT) and its application to suppress the noise in the PRBS response. The focus is on the thresholding scheme to suppress the noise and the analysis of the signal based on its Hilbert time-frequency representation. The method first decomposes the signal into the intrinsic mode function, and then, inspired by the thresholding scheme in wavelet analysis; an adaptive and interval thresholding is conducted to set to zero all the components in intrinsic mode function which are lower than a threshold related to the noise level. The algorithm is based on the characteristic of the PRBS response. The HHT-based denoising scheme is tested on the synthetic and field data with the different noise levels. The result shows that the proposed method has a good capability in denoising and detail preservation.
WOS关键词EMPIRICAL MODE DECOMPOSITION ; SPECTRUM
WOS研究方向Geochemistry & Geophysics
语种英语
WOS记录号WOS:000381406600013
资助机构R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)(ZDYZ2012-1-05-04) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)(ZDYZ2012-1-05-04) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)(ZDYZ2012-1-05-04) ; R&D of Key Instruments and Technologies for Deep Resources Prospecting (the National R&D Projects for Key Scientific Instruments)(ZDYZ2012-1-05-04)
源URL[http://ir.iggcas.ac.cn/handle/132A11/53331]  
专题地质与地球物理研究所_中国科学院矿产资源研究重点实验室
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Mineral Resources, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Univ Peshawar, Natl Ctr Excellence Geol, Peshawar, Pakistan
推荐引用方式
GB/T 7714
Li Hai,Xue Guo-qiang,Zhao Pan,et al. The Hilbert-Huang Transform-Based Denoising Method for the TEM Response of a PRBS Source Signal[J]. PURE AND APPLIED GEOPHYSICS,2016,173(8):2777-2789.
APA Li Hai,Xue Guo-qiang,Zhao Pan,Zhong Hua-sen,&Khan, Muhammad Younis.(2016).The Hilbert-Huang Transform-Based Denoising Method for the TEM Response of a PRBS Source Signal.PURE AND APPLIED GEOPHYSICS,173(8),2777-2789.
MLA Li Hai,et al."The Hilbert-Huang Transform-Based Denoising Method for the TEM Response of a PRBS Source Signal".PURE AND APPLIED GEOPHYSICS 173.8(2016):2777-2789.

入库方式: OAI收割

来源:地质与地球物理研究所

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