Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:Pure and applied geophysics 2013-11, Vol.170 (11), p.1899-1911
Main Author: Cai, Jian-hua
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-a372t-5cb2e8fa4392024a9cde0524459875d952f130d136c48217e18eec6f820baa573
cites cdi_FETCH-LOGICAL-a372t-5cb2e8fa4392024a9cde0524459875d952f130d136c48217e18eec6f820baa573
container_end_page 1911
container_issue 11
container_start_page 1899
container_title Pure and applied geophysics
container_volume 170
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
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1464556254</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1464556254</sourcerecordid><originalsourceid>FETCH-LOGICAL-a372t-5cb2e8fa4392024a9cde0524459875d952f130d136c48217e18eec6f820baa573</originalsourceid><addsrcrecordid>eNp1kL1OwzAUhS0EEqXwAGyRWFgC13_5GaFqKVJRJVRmy3VuqlSpXexkYOMdeEOeBJcwICSme4bvXJ1zCLmkcEMB8tsAAEykQFkKGYOUH5ERFVGUlGfHZATAeSqk5KfkLIQtAM1zWY7I8klvLHauw7btfWOSZwx7ZwMms96arnE2mYau2elvea8DVkkU86Zdo-8-3z_mvbabZOW1DbXzu3NyUus24MXPHZOX2XQ1maeL5cPj5G6Rap6zLpVmzbCoteAli7l1aSoEyYSQZZHLqpSsphyqmN2IgtEcaYFosrpgsNZa5nxMroe_e-9eewyd2jXBxBLaouuDoiKLbTMmRUSv_qBb13sb00UqBihYJstI0YEy3oXgsVZ7H2v7N0VBHSZWw8QqTqwOEysePWzwhMjaDfpfn_81fQHWRn4p</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1443982659</pqid></control><display><type>article</type><title>Magnetotelluric Response Function Estimation Based on Hilbert–Huang Transform</title><source>Springer Nature</source><creator>Cai, Jian-hua</creator><creatorcontrib>Cai, Jian-hua</creatorcontrib><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.</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. Geophys</addtitle><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.</description><subject>Computer simulation</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Electromagnetic fields</subject><subject>Electromagnetism</subject><subject>Fourier transforms</subject><subject>Geophysics</subject><subject>Geophysics/Geodesy</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Response functions</subject><subject>Time series</subject><subject>Transforms</subject><issn>0033-4553</issn><issn>1420-9136</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp1kL1OwzAUhS0EEqXwAGyRWFgC13_5GaFqKVJRJVRmy3VuqlSpXexkYOMdeEOeBJcwICSme4bvXJ1zCLmkcEMB8tsAAEykQFkKGYOUH5ERFVGUlGfHZATAeSqk5KfkLIQtAM1zWY7I8klvLHauw7btfWOSZwx7ZwMms96arnE2mYau2elvea8DVkkU86Zdo-8-3z_mvbabZOW1DbXzu3NyUus24MXPHZOX2XQ1maeL5cPj5G6Rap6zLpVmzbCoteAli7l1aSoEyYSQZZHLqpSsphyqmN2IgtEcaYFosrpgsNZa5nxMroe_e-9eewyd2jXBxBLaouuDoiKLbTMmRUSv_qBb13sb00UqBihYJstI0YEy3oXgsVZ7H2v7N0VBHSZWw8QqTqwOEysePWzwhMjaDfpfn_81fQHWRn4p</recordid><startdate>20131101</startdate><enddate>20131101</enddate><creator>Cai, Jian-hua</creator><general>Springer Basel</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L7M</scope><scope>M2P</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope></search><sort><creationdate>20131101</creationdate><title>Magnetotelluric Response Function Estimation Based on Hilbert–Huang Transform</title><author>Cai, Jian-hua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a372t-5cb2e8fa4392024a9cde0524459875d952f130d136c48217e18eec6f820baa573</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Computer simulation</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Electromagnetic fields</topic><topic>Electromagnetism</topic><topic>Fourier transforms</topic><topic>Geophysics</topic><topic>Geophysics/Geodesy</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Response functions</topic><topic>Time series</topic><topic>Transforms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cai, Jian-hua</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aerospace Database</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Science Journals</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Pure and applied geophysics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cai, Jian-hua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Magnetotelluric Response Function Estimation Based on Hilbert–Huang Transform</atitle><jtitle>Pure and applied geophysics</jtitle><stitle>Pure Appl. Geophys</stitle><date>2013-11-01</date><risdate>2013</risdate><volume>170</volume><issue>11</issue><spage>1899</spage><epage>1911</epage><pages>1899-1911</pages><issn>0033-4553</issn><eissn>1420-9136</eissn><abstract>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.</abstract><cop>Basel</cop><pub>Springer Basel</pub><doi>10.1007/s00024-012-0620-3</doi><tpages>13</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0033-4553
ispartof Pure and applied geophysics, 2013-11, Vol.170 (11), p.1899-1911
issn 0033-4553
1420-9136
language eng
recordid cdi_proquest_miscellaneous_1464556254
source Springer Nature
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T19%3A06%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Magnetotelluric%20Response%20Function%20Estimation%20Based%20on%20Hilbert%E2%80%93Huang%20Transform&rft.jtitle=Pure%20and%20applied%20geophysics&rft.au=Cai,%20Jian-hua&rft.date=2013-11-01&rft.volume=170&rft.issue=11&rft.spage=1899&rft.epage=1911&rft.pages=1899-1911&rft.issn=0033-4553&rft.eissn=1420-9136&rft_id=info:doi/10.1007/s00024-012-0620-3&rft_dat=%3Cproquest_cross%3E1464556254%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-a372t-5cb2e8fa4392024a9cde0524459875d952f130d136c48217e18eec6f820baa573%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1443982659&rft_id=info:pmid/&rfr_iscdi=true