Loading…
An Alternative Formulation for the Empirical Mode Decomposition
The Empirical Mode Decomposition (EMD) is a relatively new adaptive method for multicomponent signal representation which allows for analyzing nonlinear and nonstationary signals. In spite of its lack of mathematical foundations, very few papers are dedicated to defining new decompositions that woul...
Saved in:
Published in: | IEEE transactions on signal processing 2012-05, Vol.60 (5), p.2236-2246 |
---|---|
Main Authors: | , , |
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-c430t-56984a90689578f04c1b93a1b14eef6bc514688a29198ed3be6389df0663a1b53 |
---|---|
cites | cdi_FETCH-LOGICAL-c430t-56984a90689578f04c1b93a1b14eef6bc514688a29198ed3be6389df0663a1b53 |
container_end_page | 2246 |
container_issue | 5 |
container_start_page | 2236 |
container_title | IEEE transactions on signal processing |
container_volume | 60 |
creator | Oberlin, T. Meignen, S. Perrier, V. |
description | The Empirical Mode Decomposition (EMD) is a relatively new adaptive method for multicomponent signal representation which allows for analyzing nonlinear and nonstationary signals. In spite of its lack of mathematical foundations, very few papers are dedicated to defining new decompositions that would preserve the interesting properties of the EMD while improving the mathematical setting. The new decomposition based on direct constrained optimization we introduce in this article is an attempt in that direction. |
doi_str_mv | 10.1109/TSP.2012.2187202 |
format | article |
fullrecord | <record><control><sourceid>proquest_pasca</sourceid><recordid>TN_cdi_proquest_journals_1001890732</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6146462</ieee_id><sourcerecordid>2636180681</sourcerecordid><originalsourceid>FETCH-LOGICAL-c430t-56984a90689578f04c1b93a1b14eef6bc514688a29198ed3be6389df0663a1b53</originalsourceid><addsrcrecordid>eNpd0M9r2zAUwHEzNljX9T7YxTAK7cHZe_pl6VRCf6yDjBWaQm9CcZ6pim1lkhPof1-ZhBx20kP6SIhvUXxDmCGC-bl8fJgxQDZjqGsG7ENxgkZgBaJWH_MMkldS18-fiy8pvQKgEEadFFfzoZx3I8XBjX5H5V2I_bbLcxjKNsRyfKHytt_46BvXlX_CmsobakK_CclP6GvxqXVdorPDelo83d0ur--rxd9fv6_ni6oRHMZKKqOFM6C0kbVuQTS4MtzhCgVRq1aNRKG0dsyg0bTmK1Jcm3ULSk1K8tPicv_ui-vsJvrexTcbnLf384Wd9gCk5Aj1DrO92NtNDP-2lEbb-9RQ17mBwjZZBMa0ASFVpj_-o69hm1t0kwLMquYsK9irJoaUIrXHHyDYqb7N9e1U3x7q5yvnh4ddyuXa6IbGp-M9JmsDGuvsvu-dJ6Ljsco1hGL8HVa3igk</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1001890732</pqid></control><display><type>article</type><title>An Alternative Formulation for the Empirical Mode Decomposition</title><source>IEEE Xplore (Online service)</source><creator>Oberlin, T. ; Meignen, S. ; Perrier, V.</creator><creatorcontrib>Oberlin, T. ; Meignen, S. ; Perrier, V.</creatorcontrib><description>The Empirical Mode Decomposition (EMD) is a relatively new adaptive method for multicomponent signal representation which allows for analyzing nonlinear and nonstationary signals. In spite of its lack of mathematical foundations, very few papers are dedicated to defining new decompositions that would preserve the interesting properties of the EMD while improving the mathematical setting. The new decomposition based on direct constrained optimization we introduce in this article is an attempt in that direction.</description><identifier>ISSN: 1053-587X</identifier><identifier>EISSN: 1941-0476</identifier><identifier>DOI: 10.1109/TSP.2012.2187202</identifier><identifier>CODEN: ITPRED</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Adaptive signal decomposition ; Applied sciences ; Computer Science ; constrained optimization ; Context ; Decomposition ; Detection, estimation, filtering, equalization, prediction ; Educational institutions ; Electronic mail ; Empirical analysis ; empirical mode decomposition (EMD) ; Exact sciences and technology ; Foundations ; Information Retrieval ; Information, signal and communications theory ; Mathematical analysis ; Nonlinearity ; Optimization ; Polynomials ; Preserves ; Representations ; Signal and communications theory ; Signal representation. Spectral analysis ; Signal resolution ; Signal, noise ; Splines (mathematics) ; Telecommunications and information theory</subject><ispartof>IEEE transactions on signal processing, 2012-05, Vol.60 (5), p.2236-2246</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) May 2012</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c430t-56984a90689578f04c1b93a1b14eef6bc514688a29198ed3be6389df0663a1b53</citedby><cites>FETCH-LOGICAL-c430t-56984a90689578f04c1b93a1b14eef6bc514688a29198ed3be6389df0663a1b53</cites><orcidid>0000-0002-9680-4227 ; 0000-0002-6713-0593</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6146462$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,54796</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25790817$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-00553107$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Oberlin, T.</creatorcontrib><creatorcontrib>Meignen, S.</creatorcontrib><creatorcontrib>Perrier, V.</creatorcontrib><title>An Alternative Formulation for the Empirical Mode Decomposition</title><title>IEEE transactions on signal processing</title><addtitle>TSP</addtitle><description>The Empirical Mode Decomposition (EMD) is a relatively new adaptive method for multicomponent signal representation which allows for analyzing nonlinear and nonstationary signals. In spite of its lack of mathematical foundations, very few papers are dedicated to defining new decompositions that would preserve the interesting properties of the EMD while improving the mathematical setting. The new decomposition based on direct constrained optimization we introduce in this article is an attempt in that direction.</description><subject>Adaptive signal decomposition</subject><subject>Applied sciences</subject><subject>Computer Science</subject><subject>constrained optimization</subject><subject>Context</subject><subject>Decomposition</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Educational institutions</subject><subject>Electronic mail</subject><subject>Empirical analysis</subject><subject>empirical mode decomposition (EMD)</subject><subject>Exact sciences and technology</subject><subject>Foundations</subject><subject>Information Retrieval</subject><subject>Information, signal and communications theory</subject><subject>Mathematical analysis</subject><subject>Nonlinearity</subject><subject>Optimization</subject><subject>Polynomials</subject><subject>Preserves</subject><subject>Representations</subject><subject>Signal and communications theory</subject><subject>Signal representation. Spectral analysis</subject><subject>Signal resolution</subject><subject>Signal, noise</subject><subject>Splines (mathematics)</subject><subject>Telecommunications and information theory</subject><issn>1053-587X</issn><issn>1941-0476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNpd0M9r2zAUwHEzNljX9T7YxTAK7cHZe_pl6VRCf6yDjBWaQm9CcZ6pim1lkhPof1-ZhBx20kP6SIhvUXxDmCGC-bl8fJgxQDZjqGsG7ENxgkZgBaJWH_MMkldS18-fiy8pvQKgEEadFFfzoZx3I8XBjX5H5V2I_bbLcxjKNsRyfKHytt_46BvXlX_CmsobakK_CclP6GvxqXVdorPDelo83d0ur--rxd9fv6_ni6oRHMZKKqOFM6C0kbVuQTS4MtzhCgVRq1aNRKG0dsyg0bTmK1Jcm3ULSk1K8tPicv_ui-vsJvrexTcbnLf384Wd9gCk5Aj1DrO92NtNDP-2lEbb-9RQ17mBwjZZBMa0ASFVpj_-o69hm1t0kwLMquYsK9irJoaUIrXHHyDYqb7N9e1U3x7q5yvnh4ddyuXa6IbGp-M9JmsDGuvsvu-dJ6Ljsco1hGL8HVa3igk</recordid><startdate>20120501</startdate><enddate>20120501</enddate><creator>Oberlin, T.</creator><creator>Meignen, S.</creator><creator>Perrier, V.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>F28</scope><scope>FR3</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-9680-4227</orcidid><orcidid>https://orcid.org/0000-0002-6713-0593</orcidid></search><sort><creationdate>20120501</creationdate><title>An Alternative Formulation for the Empirical Mode Decomposition</title><author>Oberlin, T. ; Meignen, S. ; Perrier, V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c430t-56984a90689578f04c1b93a1b14eef6bc514688a29198ed3be6389df0663a1b53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adaptive signal decomposition</topic><topic>Applied sciences</topic><topic>Computer Science</topic><topic>constrained optimization</topic><topic>Context</topic><topic>Decomposition</topic><topic>Detection, estimation, filtering, equalization, prediction</topic><topic>Educational institutions</topic><topic>Electronic mail</topic><topic>Empirical analysis</topic><topic>empirical mode decomposition (EMD)</topic><topic>Exact sciences and technology</topic><topic>Foundations</topic><topic>Information Retrieval</topic><topic>Information, signal and communications theory</topic><topic>Mathematical analysis</topic><topic>Nonlinearity</topic><topic>Optimization</topic><topic>Polynomials</topic><topic>Preserves</topic><topic>Representations</topic><topic>Signal and communications theory</topic><topic>Signal representation. Spectral analysis</topic><topic>Signal resolution</topic><topic>Signal, noise</topic><topic>Splines (mathematics)</topic><topic>Telecommunications and information theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Oberlin, T.</creatorcontrib><creatorcontrib>Meignen, S.</creatorcontrib><creatorcontrib>Perrier, V.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library Online</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>IEEE transactions on signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Oberlin, T.</au><au>Meignen, S.</au><au>Perrier, V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Alternative Formulation for the Empirical Mode Decomposition</atitle><jtitle>IEEE transactions on signal processing</jtitle><stitle>TSP</stitle><date>2012-05-01</date><risdate>2012</risdate><volume>60</volume><issue>5</issue><spage>2236</spage><epage>2246</epage><pages>2236-2246</pages><issn>1053-587X</issn><eissn>1941-0476</eissn><coden>ITPRED</coden><abstract>The Empirical Mode Decomposition (EMD) is a relatively new adaptive method for multicomponent signal representation which allows for analyzing nonlinear and nonstationary signals. In spite of its lack of mathematical foundations, very few papers are dedicated to defining new decompositions that would preserve the interesting properties of the EMD while improving the mathematical setting. The new decomposition based on direct constrained optimization we introduce in this article is an attempt in that direction.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TSP.2012.2187202</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-9680-4227</orcidid><orcidid>https://orcid.org/0000-0002-6713-0593</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1053-587X |
ispartof | IEEE transactions on signal processing, 2012-05, Vol.60 (5), p.2236-2246 |
issn | 1053-587X 1941-0476 |
language | eng |
recordid | cdi_proquest_journals_1001890732 |
source | IEEE Xplore (Online service) |
subjects | Adaptive signal decomposition Applied sciences Computer Science constrained optimization Context Decomposition Detection, estimation, filtering, equalization, prediction Educational institutions Electronic mail Empirical analysis empirical mode decomposition (EMD) Exact sciences and technology Foundations Information Retrieval Information, signal and communications theory Mathematical analysis Nonlinearity Optimization Polynomials Preserves Representations Signal and communications theory Signal representation. Spectral analysis Signal resolution Signal, noise Splines (mathematics) Telecommunications and information theory |
title | An Alternative Formulation for the Empirical Mode Decomposition |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T12%3A03%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pasca&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20Alternative%20Formulation%20for%20the%20Empirical%20Mode%20Decomposition&rft.jtitle=IEEE%20transactions%20on%20signal%20processing&rft.au=Oberlin,%20T.&rft.date=2012-05-01&rft.volume=60&rft.issue=5&rft.spage=2236&rft.epage=2246&rft.pages=2236-2246&rft.issn=1053-587X&rft.eissn=1941-0476&rft.coden=ITPRED&rft_id=info:doi/10.1109/TSP.2012.2187202&rft_dat=%3Cproquest_pasca%3E2636180681%3C/proquest_pasca%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c430t-56984a90689578f04c1b93a1b14eef6bc514688a29198ed3be6389df0663a1b53%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1001890732&rft_id=info:pmid/&rft_ieee_id=6146462&rfr_iscdi=true |