Retrieval of the Modes of Multicomponent Signals From Downsampled Short-Time Fourier Transform
In this paper, we investigate the retrieval of the modes of multicomponent signals from their downsampled short-time Fourier transform. To this end, we first recall signal reconstruction techniques based on shifted downsampled short-time Fourier transform, and then explain how to adapt these to the...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on signal processing 2018-12, Vol.66 (23), p.6204-6215 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 6215 |
---|---|
container_issue | 23 |
container_start_page | 6204 |
container_title | IEEE transactions on signal processing |
container_volume | 66 |
creator | Meignen, Sylvain Duong-Hung Pham |
description | In this paper, we investigate the retrieval of the modes of multicomponent signals from their downsampled short-time Fourier transform. To this end, we first recall signal reconstruction techniques based on shifted downsampled short-time Fourier transform, and then explain how to adapt these to the context of the retrieval of the modes of a multicomponent signal. We then show, on simulated and real data, that downsampling the short-time Fourier transform does not result in a significant performance loss of the mode retrieval procedures. Finally, comparisons with recent mode retrieval techniques based on synchrosqueezing transform are carried out, the focus being put on the amount of information needed to perform the recovery of the modes. |
doi_str_mv | 10.1109/TSP.2018.2875390 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_8488504</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8488504</ieee_id><sourcerecordid>2127966644</sourcerecordid><originalsourceid>FETCH-LOGICAL-c367t-69929f0b13ec64c914bb6b84724e7532378ec58de23b15e4addd1135423a86ba3</originalsourceid><addsrcrecordid>eNo9kM1LwzAYh4soOKd3wUvAk4fOfDVNjmM6J2woboInQ9q-dR1tM5Nu4n9vyoanfPD8fsn7RNE1wSNCsLpfLV9HFBM5ojJNmMIn0YAoTmLMU3Ea9jhhcSLTj_PowvsNxoRzJQbR5xt0roK9qZEtUbcGtLAF-P6w2NVdldtma1toO7SsvlpTezR1tkEP9qf1ptnWUKDl2rouXlUNoKndhTKHVs60vrSuuYzOyhCCq-M6jN6nj6vJLJ6_PD1PxvM4ZyLtYqEUVSXOCINc8FwRnmUikzylHMI0lKUS8kQWQFlGEuCmKApCWMIpM1Jkhg2ju0Pv2tR666rGuF9tTaVn47nu74KZBCuO9ySwtwd26-z3DnynN-Hb_WyaEpoqIQTngcIHKnfWewflfy3Bujeug3HdG9dH4yFyc4hUAPCPSy7D05z9AcdFe7o</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2127966644</pqid></control><display><type>article</type><title>Retrieval of the Modes of Multicomponent Signals From Downsampled Short-Time Fourier Transform</title><source>IEEE/IET Electronic Library</source><creator>Meignen, Sylvain ; Duong-Hung Pham</creator><creatorcontrib>Meignen, Sylvain ; Duong-Hung Pham</creatorcontrib><description>In this paper, we investigate the retrieval of the modes of multicomponent signals from their downsampled short-time Fourier transform. To this end, we first recall signal reconstruction techniques based on shifted downsampled short-time Fourier transform, and then explain how to adapt these to the context of the retrieval of the modes of a multicomponent signal. We then show, on simulated and real data, that downsampling the short-time Fourier transform does not result in a significant performance loss of the mode retrieval procedures. Finally, comparisons with recent mode retrieval techniques based on synchrosqueezing transform are carried out, the focus being put on the amount of information needed to perform the recovery of the modes.</description><identifier>ISSN: 1053-587X</identifier><identifier>EISSN: 1941-0476</identifier><identifier>DOI: 10.1109/TSP.2018.2875390</identifier><identifier>CODEN: ITPRED</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>AM/FM multicomponent signals ; Computer Science ; Continuous wavelet transforms ; downsampled short-time Fourier transform ; Fourier transforms ; Frequency modulation ; mode retrieval ; Noise measurement ; Retrieval ; Signal and Image Processing ; Signal reconstruction ; synchrosqueezing ; Time-frequency analysis</subject><ispartof>IEEE transactions on signal processing, 2018-12, Vol.66 (23), p.6204-6215</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018</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-c367t-69929f0b13ec64c914bb6b84724e7532378ec58de23b15e4addd1135423a86ba3</citedby><cites>FETCH-LOGICAL-c367t-69929f0b13ec64c914bb6b84724e7532378ec58de23b15e4addd1135423a86ba3</cites><orcidid>0000-0002-2928-5797 ; 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/8488504$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,780,784,796,885,27922,27923,54756</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8488504$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://hal.science/hal-01850940$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Meignen, Sylvain</creatorcontrib><creatorcontrib>Duong-Hung Pham</creatorcontrib><title>Retrieval of the Modes of Multicomponent Signals From Downsampled Short-Time Fourier Transform</title><title>IEEE transactions on signal processing</title><addtitle>TSP</addtitle><description>In this paper, we investigate the retrieval of the modes of multicomponent signals from their downsampled short-time Fourier transform. To this end, we first recall signal reconstruction techniques based on shifted downsampled short-time Fourier transform, and then explain how to adapt these to the context of the retrieval of the modes of a multicomponent signal. We then show, on simulated and real data, that downsampling the short-time Fourier transform does not result in a significant performance loss of the mode retrieval procedures. Finally, comparisons with recent mode retrieval techniques based on synchrosqueezing transform are carried out, the focus being put on the amount of information needed to perform the recovery of the modes.</description><subject>AM/FM multicomponent signals</subject><subject>Computer Science</subject><subject>Continuous wavelet transforms</subject><subject>downsampled short-time Fourier transform</subject><subject>Fourier transforms</subject><subject>Frequency modulation</subject><subject>mode retrieval</subject><subject>Noise measurement</subject><subject>Retrieval</subject><subject>Signal and Image Processing</subject><subject>Signal reconstruction</subject><subject>synchrosqueezing</subject><subject>Time-frequency analysis</subject><issn>1053-587X</issn><issn>1941-0476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kM1LwzAYh4soOKd3wUvAk4fOfDVNjmM6J2woboInQ9q-dR1tM5Nu4n9vyoanfPD8fsn7RNE1wSNCsLpfLV9HFBM5ojJNmMIn0YAoTmLMU3Ea9jhhcSLTj_PowvsNxoRzJQbR5xt0roK9qZEtUbcGtLAF-P6w2NVdldtma1toO7SsvlpTezR1tkEP9qf1ptnWUKDl2rouXlUNoKndhTKHVs60vrSuuYzOyhCCq-M6jN6nj6vJLJ6_PD1PxvM4ZyLtYqEUVSXOCINc8FwRnmUikzylHMI0lKUS8kQWQFlGEuCmKApCWMIpM1Jkhg2ju0Pv2tR666rGuF9tTaVn47nu74KZBCuO9ySwtwd26-z3DnynN-Hb_WyaEpoqIQTngcIHKnfWewflfy3Bujeug3HdG9dH4yFyc4hUAPCPSy7D05z9AcdFe7o</recordid><startdate>20181201</startdate><enddate>20181201</enddate><creator>Meignen, Sylvain</creator><creator>Duong-Hung Pham</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><general>Institute of Electrical and Electronics Engineers</general><scope>97E</scope><scope>RIA</scope><scope>RIE</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>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-2928-5797</orcidid><orcidid>https://orcid.org/0000-0002-6713-0593</orcidid></search><sort><creationdate>20181201</creationdate><title>Retrieval of the Modes of Multicomponent Signals From Downsampled Short-Time Fourier Transform</title><author>Meignen, Sylvain ; Duong-Hung Pham</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c367t-69929f0b13ec64c914bb6b84724e7532378ec58de23b15e4addd1135423a86ba3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>AM/FM multicomponent signals</topic><topic>Computer Science</topic><topic>Continuous wavelet transforms</topic><topic>downsampled short-time Fourier transform</topic><topic>Fourier transforms</topic><topic>Frequency modulation</topic><topic>mode retrieval</topic><topic>Noise measurement</topic><topic>Retrieval</topic><topic>Signal and Image Processing</topic><topic>Signal reconstruction</topic><topic>synchrosqueezing</topic><topic>Time-frequency analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Meignen, Sylvain</creatorcontrib><creatorcontrib>Duong-Hung Pham</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005–Present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE/IET Electronic Library</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>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_linktorsrc</fulltext></delivery><addata><au>Meignen, Sylvain</au><au>Duong-Hung Pham</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Retrieval of the Modes of Multicomponent Signals From Downsampled Short-Time Fourier Transform</atitle><jtitle>IEEE transactions on signal processing</jtitle><stitle>TSP</stitle><date>2018-12-01</date><risdate>2018</risdate><volume>66</volume><issue>23</issue><spage>6204</spage><epage>6215</epage><pages>6204-6215</pages><issn>1053-587X</issn><eissn>1941-0476</eissn><coden>ITPRED</coden><abstract>In this paper, we investigate the retrieval of the modes of multicomponent signals from their downsampled short-time Fourier transform. To this end, we first recall signal reconstruction techniques based on shifted downsampled short-time Fourier transform, and then explain how to adapt these to the context of the retrieval of the modes of a multicomponent signal. We then show, on simulated and real data, that downsampling the short-time Fourier transform does not result in a significant performance loss of the mode retrieval procedures. Finally, comparisons with recent mode retrieval techniques based on synchrosqueezing transform are carried out, the focus being put on the amount of information needed to perform the recovery of the modes.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TSP.2018.2875390</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-2928-5797</orcidid><orcidid>https://orcid.org/0000-0002-6713-0593</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1053-587X |
ispartof | IEEE transactions on signal processing, 2018-12, Vol.66 (23), p.6204-6215 |
issn | 1053-587X 1941-0476 |
language | eng |
recordid | cdi_ieee_primary_8488504 |
source | IEEE/IET Electronic Library |
subjects | AM/FM multicomponent signals Computer Science Continuous wavelet transforms downsampled short-time Fourier transform Fourier transforms Frequency modulation mode retrieval Noise measurement Retrieval Signal and Image Processing Signal reconstruction synchrosqueezing Time-frequency analysis |
title | Retrieval of the Modes of Multicomponent Signals From Downsampled Short-Time Fourier Transform |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T16%3A31%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Retrieval%20of%20the%20Modes%20of%20Multicomponent%20Signals%20From%20Downsampled%20Short-Time%20Fourier%20Transform&rft.jtitle=IEEE%20transactions%20on%20signal%20processing&rft.au=Meignen,%20Sylvain&rft.date=2018-12-01&rft.volume=66&rft.issue=23&rft.spage=6204&rft.epage=6215&rft.pages=6204-6215&rft.issn=1053-587X&rft.eissn=1941-0476&rft.coden=ITPRED&rft_id=info:doi/10.1109/TSP.2018.2875390&rft_dat=%3Cproquest_RIE%3E2127966644%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2127966644&rft_id=info:pmid/&rft_ieee_id=8488504&rfr_iscdi=true |