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Magnetotelluric Response Function Estimation Based on Hilbert–Huang Transform
Magnetotelluric (MT) data series are non-stationary random signals that do not meet the basic requirements of conventional methods based on the Fourier transform. To minimize the estimation bias errors brought about by the non-stationary characteristics of MT data, a new method, based on the Hilbert...
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Published in: | Pure and applied geophysics 2013-11, Vol.170 (11), p.1899-1911 |
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container_end_page | 1911 |
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container_title | Pure and applied geophysics |
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creator | Cai, Jian-hua |
description | Magnetotelluric (MT) data series are non-stationary random signals that do not meet the basic requirements of conventional methods based on the Fourier transform. To minimize the estimation bias errors brought about by the non-stationary characteristics of MT data, a new method, based on the Hilbert–Huang transform (HHT), is proposed for the first time for estimating the MT response functions from a time series of electromagnetic field variations. With the HHT method, the amplitude of data series are expressed as a function of frequency and time and then response functions are estimated statistically from the time–frequency spectrum. Mathematical model and calculation processes are introduced and some simulated data are analyzed to verify the correctness of the method. Finally, the measured MT data is facilitated by applying the HHT to assess the ability of HHT method to quantify meaningful geologic information. |
doi_str_mv | 10.1007/s00024-012-0620-3 |
format | article |
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To minimize the estimation bias errors brought about by the non-stationary characteristics of MT data, a new method, based on the Hilbert–Huang transform (HHT), is proposed for the first time for estimating the MT response functions from a time series of electromagnetic field variations. With the HHT method, the amplitude of data series are expressed as a function of frequency and time and then response functions are estimated statistically from the time–frequency spectrum. Mathematical model and calculation processes are introduced and some simulated data are analyzed to verify the correctness of the method. Finally, the measured MT data is facilitated by applying the HHT to assess the ability of HHT method to quantify meaningful geologic information.</description><identifier>ISSN: 0033-4553</identifier><identifier>EISSN: 1420-9136</identifier><identifier>DOI: 10.1007/s00024-012-0620-3</identifier><language>eng</language><publisher>Basel: Springer Basel</publisher><subject>Computer simulation ; Earth and Environmental Science ; Earth Sciences ; Electromagnetic fields ; Electromagnetism ; Fourier transforms ; Geophysics ; Geophysics/Geodesy ; Mathematical analysis ; Mathematical models ; Response functions ; Time series ; Transforms</subject><ispartof>Pure and applied geophysics, 2013-11, Vol.170 (11), p.1899-1911</ispartof><rights>Springer Basel 2012</rights><rights>Springer Basel 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a372t-5cb2e8fa4392024a9cde0524459875d952f130d136c48217e18eec6f820baa573</citedby><cites>FETCH-LOGICAL-a372t-5cb2e8fa4392024a9cde0524459875d952f130d136c48217e18eec6f820baa573</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Cai, Jian-hua</creatorcontrib><title>Magnetotelluric Response Function Estimation Based on Hilbert–Huang Transform</title><title>Pure and applied geophysics</title><addtitle>Pure Appl. 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subjects | Computer simulation Earth and Environmental Science Earth Sciences Electromagnetic fields Electromagnetism Fourier transforms Geophysics Geophysics/Geodesy Mathematical analysis Mathematical models Response functions Time series Transforms |
title | Magnetotelluric Response Function Estimation Based on Hilbert–Huang Transform |
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