EEMD-IF Based Method for Underwater Noisy Acoustic Signals Enhancement in Time-Domain
This paper introduces a novel signal enhancement method to mitigate the effects of underwater acoustic ambient noises. The combination of ensemble empirical mode decomposition (EEMD) and iterative filtering (IF) is adopted to analyze the underwater speech and chirp noisy signals. The main novelty re...
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| Veröffentlicht in: | IEEE signal processing letters 2023-01, Vol.30, p.1-5 |
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| creator | Caldeira, A. Coelho, R. |
| description | This paper introduces a novel signal enhancement method to mitigate the effects of underwater acoustic ambient noises. The combination of ensemble empirical mode decomposition (EEMD) and iterative filtering (IF) is adopted to analyze the underwater speech and chirp noisy signals. The main novelty relies on the estimation and selection of the noise components using the index of non-stationarity of each decomposition mode. The idea is to better suppress the noise components, especially for highly non-stationary environments. The proposed method is compared to four baseline approaches to enhance speech and chirp signals. For this purpose, signals of interest are corrupted by three underwater ambient noises with different non-stationarity degrees. Experiments results demonstrate that the proposal achieves the best results, especially in the presence of severe non-stationary noisy conditions. In this situation, the reduction in the root mean square error achieves 11.2%. |
| doi_str_mv | 10.1109/LSP.2023.3258219 |
| format | Article |
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The combination of ensemble empirical mode decomposition (EEMD) and iterative filtering (IF) is adopted to analyze the underwater speech and chirp noisy signals. The main novelty relies on the estimation and selection of the noise components using the index of non-stationarity of each decomposition mode. The idea is to better suppress the noise components, especially for highly non-stationary environments. The proposed method is compared to four baseline approaches to enhance speech and chirp signals. For this purpose, signals of interest are corrupted by three underwater ambient noises with different non-stationarity degrees. Experiments results demonstrate that the proposal achieves the best results, especially in the presence of severe non-stationary noisy conditions. In this situation, the reduction in the root mean square error achieves 11.2%.</description><identifier>ISSN: 1070-9908</identifier><identifier>EISSN: 1558-2361</identifier><identifier>DOI: 10.1109/LSP.2023.3258219</identifier><identifier>CODEN: ISPLEM</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Acoustic noise ; Chirp ; Chirp signals ; Empirical analysis ; empirical mode decomposition ; index of non-stationarity ; Noise measurement ; Nonstationary environments ; Oceans ; signal enhancement ; Signal to noise ratio ; Speech ; Speech enhancement ; Time-domain analysis ; Underwater acoustics</subject><ispartof>IEEE signal processing letters, 2023-01, Vol.30, p.1-5</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c292t-f95940f5c6d31d1d6f2418530c0696b9e9d2b97b13256ccfe51b11e0d86aad123</citedby><cites>FETCH-LOGICAL-c292t-f95940f5c6d31d1d6f2418530c0696b9e9d2b97b13256ccfe51b11e0d86aad123</cites><orcidid>0000-0002-8170-3992 ; 0000-0003-4232-8779</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10073627$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10073627$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Caldeira, A.</creatorcontrib><creatorcontrib>Coelho, R.</creatorcontrib><title>EEMD-IF Based Method for Underwater Noisy Acoustic Signals Enhancement in Time-Domain</title><title>IEEE signal processing letters</title><addtitle>LSP</addtitle><description>This paper introduces a novel signal enhancement method to mitigate the effects of underwater acoustic ambient noises. The combination of ensemble empirical mode decomposition (EEMD) and iterative filtering (IF) is adopted to analyze the underwater speech and chirp noisy signals. The main novelty relies on the estimation and selection of the noise components using the index of non-stationarity of each decomposition mode. The idea is to better suppress the noise components, especially for highly non-stationary environments. The proposed method is compared to four baseline approaches to enhance speech and chirp signals. For this purpose, signals of interest are corrupted by three underwater ambient noises with different non-stationarity degrees. Experiments results demonstrate that the proposal achieves the best results, especially in the presence of severe non-stationary noisy conditions. In this situation, the reduction in the root mean square error achieves 11.2%.</description><subject>Acoustic noise</subject><subject>Chirp</subject><subject>Chirp signals</subject><subject>Empirical analysis</subject><subject>empirical mode decomposition</subject><subject>index of non-stationarity</subject><subject>Noise measurement</subject><subject>Nonstationary environments</subject><subject>Oceans</subject><subject>signal enhancement</subject><subject>Signal to noise ratio</subject><subject>Speech</subject><subject>Speech enhancement</subject><subject>Time-domain analysis</subject><subject>Underwater acoustics</subject><issn>1070-9908</issn><issn>1558-2361</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkEFPAjEUhBujiYjePXho4nnxtWW72yPioiSgJsC56bZdKZEttksM_94SOHh67_DNZGYQuicwIATE02zxOaBA2YDRvKREXKAeyfMyo4yTy_RDAZkQUF6jmxg3AFCSMu-hVVXNX7LpBD-raA2e227tDW58wKvW2PCrOhvwu3fxgEfa72PnNF64r1Z9R1y1a9Vqu7Vth12Ll25rsxe_Va69RVdNIuzd-fbRalItx2_Z7ON1Oh7NMk0F7bJG5GIITa65YcQQwxs6TKkYaOCC18IKQ2tR1CR14lo3Nic1IRZMyZUyhLI-ejz57oL_2dvYyY3fh2M4SQvBaGrNIFFwonTwMQbbyF1wWxUOkoA8jifTePI4njyPlyQPJ4mz1v7Dkx-nBfsDVNdpLQ</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Caldeira, A.</creator><creator>Coelho, R.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</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><orcidid>https://orcid.org/0000-0002-8170-3992</orcidid><orcidid>https://orcid.org/0000-0003-4232-8779</orcidid></search><sort><creationdate>20230101</creationdate><title>EEMD-IF Based Method for Underwater Noisy Acoustic Signals Enhancement in Time-Domain</title><author>Caldeira, A. ; Coelho, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c292t-f95940f5c6d31d1d6f2418530c0696b9e9d2b97b13256ccfe51b11e0d86aad123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Acoustic noise</topic><topic>Chirp</topic><topic>Chirp signals</topic><topic>Empirical analysis</topic><topic>empirical mode decomposition</topic><topic>index of non-stationarity</topic><topic>Noise measurement</topic><topic>Nonstationary environments</topic><topic>Oceans</topic><topic>signal enhancement</topic><topic>Signal to noise ratio</topic><topic>Speech</topic><topic>Speech enhancement</topic><topic>Time-domain analysis</topic><topic>Underwater acoustics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Caldeira, A.</creatorcontrib><creatorcontrib>Coelho, R.</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 (IEL)</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><jtitle>IEEE signal processing letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Caldeira, A.</au><au>Coelho, R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>EEMD-IF Based Method for Underwater Noisy Acoustic Signals Enhancement in Time-Domain</atitle><jtitle>IEEE signal processing letters</jtitle><stitle>LSP</stitle><date>2023-01-01</date><risdate>2023</risdate><volume>30</volume><spage>1</spage><epage>5</epage><pages>1-5</pages><issn>1070-9908</issn><eissn>1558-2361</eissn><coden>ISPLEM</coden><abstract>This paper introduces a novel signal enhancement method to mitigate the effects of underwater acoustic ambient noises. The combination of ensemble empirical mode decomposition (EEMD) and iterative filtering (IF) is adopted to analyze the underwater speech and chirp noisy signals. The main novelty relies on the estimation and selection of the noise components using the index of non-stationarity of each decomposition mode. The idea is to better suppress the noise components, especially for highly non-stationary environments. The proposed method is compared to four baseline approaches to enhance speech and chirp signals. For this purpose, signals of interest are corrupted by three underwater ambient noises with different non-stationarity degrees. Experiments results demonstrate that the proposal achieves the best results, especially in the presence of severe non-stationary noisy conditions. 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| source | IEEE Electronic Library (IEL) |
| subjects | Acoustic noise Chirp Chirp signals Empirical analysis empirical mode decomposition index of non-stationarity Noise measurement Nonstationary environments Oceans signal enhancement Signal to noise ratio Speech Speech enhancement Time-domain analysis Underwater acoustics |
| title | EEMD-IF Based Method for Underwater Noisy Acoustic Signals Enhancement in Time-Domain |
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