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
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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 |
DOI | 10.1007/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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