{"id":"https://openalex.org/W3107546795","doi":"https://doi.org/10.3390/s20236920","title":"Gravitational-Wave Burst Signals Denoising Based on the Adaptive Modification of the Intersection of Confidence Intervals Rule","display_name":"Gravitational-Wave Burst Signals Denoising Based on the Adaptive Modification of the Intersection of Confidence Intervals Rule","publication_year":2020,"publication_date":"2020-12-03","ids":{"openalex":"https://openalex.org/W3107546795","doi":"https://doi.org/10.3390/s20236920","mag":"3107546795","pmid":"https://pubmed.ncbi.nlm.nih.gov/33287319"},"language":"en","primary_location":{"id":"doi:10.3390/s20236920","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20236920","pdf_url":"https://www.mdpi.com/1424-8220/20/23/6920/pdf?version=1607078508","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/23/6920/pdf?version=1607078508","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023634558","display_name":"Nikola Lopac","orcid":"https://orcid.org/0000-0002-0616-1265"},"institutions":[{"id":"https://openalex.org/I154347574","display_name":"University of Rijeka","ror":"https://ror.org/05r8dqr10","country_code":"HR","type":"education","lineage":["https://openalex.org/I154347574"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Nikola Lopac","raw_affiliation_strings":["Center for Artificial Intelligence and Cybersecurity, University of Rijeka, Radmile Matejcic 2, 51000 Rijeka, Croatia","Faculty of Maritime Studies, University of Rijeka, Studentska 2, 51000 Rijeka, Croatia"],"affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence and Cybersecurity, University of Rijeka, Radmile Matejcic 2, 51000 Rijeka, Croatia","institution_ids":["https://openalex.org/I154347574"]},{"raw_affiliation_string":"Faculty of Maritime Studies, University of Rijeka, Studentska 2, 51000 Rijeka, Croatia","institution_ids":["https://openalex.org/I154347574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014073915","display_name":"Jonatan Lerga","orcid":"https://orcid.org/0000-0002-4058-8449"},"institutions":[{"id":"https://openalex.org/I154347574","display_name":"University of Rijeka","ror":"https://ror.org/05r8dqr10","country_code":"HR","type":"education","lineage":["https://openalex.org/I154347574"]}],"countries":["HR"],"is_corresponding":true,"raw_author_name":"Jonatan Lerga","raw_affiliation_strings":["Center for Artificial Intelligence and Cybersecurity, University of Rijeka, Radmile Matejcic 2, 51000 Rijeka, Croatia","Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia"],"affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence and Cybersecurity, University of Rijeka, Radmile Matejcic 2, 51000 Rijeka, Croatia","institution_ids":["https://openalex.org/I154347574"]},{"raw_affiliation_string":"Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia","institution_ids":["https://openalex.org/I154347574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074113580","display_name":"E. Cuoco","orcid":"https://orcid.org/0000-0002-6528-3449"},"institutions":[{"id":"https://openalex.org/I157210198","display_name":"Scuola Normale Superiore","ror":"https://ror.org/03aydme10","country_code":"IT","type":"education","lineage":["https://openalex.org/I157210198"]},{"id":"https://openalex.org/I4210163613","display_name":"European Gravitational Observatory","ror":"https://ror.org/05nw98r31","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210163613"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Elena Cuoco","raw_affiliation_strings":["European Gravitational Observatory (EGO), Cascina, I-56021 Pisa, Italy","Scuola Normale Superiore, Piazza dei Cavalieri, 7-56126 Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"European Gravitational Observatory (EGO), Cascina, I-56021 Pisa, Italy","institution_ids":["https://openalex.org/I4210163613"]},{"raw_affiliation_string":"Scuola Normale Superiore, Piazza dei Cavalieri, 7-56126 Pisa, Italy","institution_ids":["https://openalex.org/I157210198"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014073915"],"corresponding_institution_ids":["https://openalex.org/I154347574"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.9384,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75570564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"20","issue":"23","first_page":"6920","last_page":"6920"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10463","display_name":"Pulsars and Gravitational Waves Research","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10463","display_name":"Pulsars and Gravitational Waves Research","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11757","display_name":"Seismic Waves and Analysis","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7227706909179688},{"id":"https://openalex.org/keywords/ligo","display_name":"LIGO","score":0.6118354797363281},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5726231336593628},{"id":"https://openalex.org/keywords/gravitational-wave","display_name":"Gravitational wave","score":0.559959888458252},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5476362705230713},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5457018613815308},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5028161406517029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44719669222831726},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.42738014459609985},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4211321473121643},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.41691604256629944},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4111734628677368},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.37545889616012573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3250538110733032},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3243112564086914},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.31951773166656494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28296297788619995},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20708969235420227},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16129860281944275},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15251442790031433},{"id":"https://openalex.org/keywords/astrophysics","display_name":"Astrophysics","score":0.11201280355453491}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7227706909179688},{"id":"https://openalex.org/C2780688901","wikidata":"https://www.wikidata.org/wiki/Q255371","display_name":"LIGO","level":3,"score":0.6118354797363281},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5726231336593628},{"id":"https://openalex.org/C190330329","wikidata":"https://www.wikidata.org/wiki/Q190035","display_name":"Gravitational wave","level":2,"score":0.559959888458252},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5476362705230713},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5457018613815308},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5028161406517029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44719669222831726},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.42738014459609985},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4211321473121643},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.41691604256629944},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4111734628677368},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.37545889616012573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3250538110733032},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3243112564086914},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.31951773166656494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28296297788619995},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20708969235420227},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16129860281944275},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15251442790031433},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.11201280355453491},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.3390/s20236920","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20236920","pdf_url":"https://www.mdpi.com/1424-8220/20/23/6920/pdf?version=1607078508","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:33287319","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33287319","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:cris.unibo.it:11585/996778","is_oa":false,"landing_page_url":"https://hdl.handle.net/11585/996778","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:583df23a59ba4453a04d3c42aed8ddbb","is_oa":true,"landing_page_url":"https://doaj.org/article/583df23a59ba4453a04d3c42aed8ddbb","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 23, p 6920 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/23/6920/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s20236920","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 20; Issue 23; Pages: 6920","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7729785","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7729785","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:www.unirepository.svkri.uniri.hr:pfri_4745","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S7407055358","display_name":"Repository of the University of Rijeka","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (ISSN 1424-8220), no. 23, vol. 20","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s20236920","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20236920","pdf_url":"https://www.mdpi.com/1424-8220/20/23/6920/pdf?version=1607078508","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12"}],"awards":[{"id":"https://openalex.org/G5975489004","display_name":null,"funder_award_id":"IP-2018-01-3739 and IP-2020-02-4358","funder_id":"https://openalex.org/F4320322674","funder_display_name":"Hrvatska Zaklada za Znanost"}],"funders":[{"id":"https://openalex.org/F4320322674","display_name":"Hrvatska Zaklada za Znanost","ror":"https://ror.org/03n51vw80"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3107546795.pdf","grobid_xml":"https://content.openalex.org/works/W3107546795.grobid-xml"},"referenced_works_count":99,"referenced_works":["https://openalex.org/W1497813392","https://openalex.org/W1631642545","https://openalex.org/W1777070175","https://openalex.org/W1907673529","https://openalex.org/W1924600654","https://openalex.org/W1973716971","https://openalex.org/W1994870116","https://openalex.org/W2005089986","https://openalex.org/W2018289223","https://openalex.org/W2018824891","https://openalex.org/W2023036028","https://openalex.org/W2023411760","https://openalex.org/W2029313637","https://openalex.org/W2033083595","https://openalex.org/W2033484654","https://openalex.org/W2038083843","https://openalex.org/W2039664503","https://openalex.org/W2042615495","https://openalex.org/W2047096719","https://openalex.org/W2052074642","https://openalex.org/W2062331895","https://openalex.org/W2068199034","https://openalex.org/W2070806579","https://openalex.org/W2081042158","https://openalex.org/W2092663520","https://openalex.org/W2097501174","https://openalex.org/W2103559027","https://openalex.org/W2123692678","https://openalex.org/W2142058898","https://openalex.org/W2144275666","https://openalex.org/W2145040957","https://openalex.org/W2146536821","https://openalex.org/W2151552813","https://openalex.org/W2156674770","https://openalex.org/W2158940042","https://openalex.org/W2160479212","https://openalex.org/W2162377397","https://openalex.org/W2167770537","https://openalex.org/W2252795400","https://openalex.org/W2255446341","https://openalex.org/W2259968317","https://openalex.org/W2262661619","https://openalex.org/W2263465265","https://openalex.org/W2268511610","https://openalex.org/W2272494806","https://openalex.org/W2277737850","https://openalex.org/W2339792708","https://openalex.org/W2437571239","https://openalex.org/W2472471680","https://openalex.org/W2475005008","https://openalex.org/W2480210587","https://openalex.org/W2523352299","https://openalex.org/W2523600896","https://openalex.org/W2526275824","https://openalex.org/W2534911897","https://openalex.org/W2560177689","https://openalex.org/W2575237940","https://openalex.org/W2752112331","https://openalex.org/W2754075545","https://openalex.org/W2767526854","https://openalex.org/W2775923832","https://openalex.org/W2777034050","https://openalex.org/W2790799210","https://openalex.org/W2797267812","https://openalex.org/W2804766665","https://openalex.org/W2807457827","https://openalex.org/W2809261986","https://openalex.org/W2900174385","https://openalex.org/W2901266135","https://openalex.org/W2907952156","https://openalex.org/W2953142974","https://openalex.org/W2971836485","https://openalex.org/W2977600537","https://openalex.org/W2981230744","https://openalex.org/W2995259291","https://openalex.org/W3000147495","https://openalex.org/W3004775028","https://openalex.org/W3010891935","https://openalex.org/W3022596706","https://openalex.org/W3025130744","https://openalex.org/W3091954596","https://openalex.org/W3098742181","https://openalex.org/W3100399574","https://openalex.org/W3100990106","https://openalex.org/W3101284340","https://openalex.org/W3102303941","https://openalex.org/W3102357407","https://openalex.org/W3102883102","https://openalex.org/W3102981061","https://openalex.org/W3103749085","https://openalex.org/W3105289950","https://openalex.org/W3105621605","https://openalex.org/W3105874581","https://openalex.org/W3106331539","https://openalex.org/W3125346223","https://openalex.org/W4234856688","https://openalex.org/W6675908516","https://openalex.org/W6727201239","https://openalex.org/W6767562999"],"related_works":["https://openalex.org/W2571010529","https://openalex.org/W1579974687","https://openalex.org/W1659663741","https://openalex.org/W2244434094","https://openalex.org/W2115834307","https://openalex.org/W2526858977","https://openalex.org/W2615272281","https://openalex.org/W2591544470","https://openalex.org/W2940870077","https://openalex.org/W2011945822"],"abstract_inverted_index":{"Gravitational-wave":[0],"data":[1,31,112],"(discovered":[2],"first":[3],"in":[4,17,48,207,223],"2015":[5],"by":[6,13,21,114,126,219,226,234,241,248,256,265],"the":[7,14,33,42,60,67,76,84,109,115,122,138,144,149,154,157,169,175,179,183,188,200,204,208,221,224,231,243,252,261],"Advanced":[8,116],"LIGO":[9,117],"interferometers":[10],"and":[11,23,106,151,187,214,230,260],"awarded":[12],"Nobel":[15],"Prize":[16],"2017)":[18],"are":[19],"characterized":[20],"non-Gaussian":[22],"non-stationary":[24],"noise.":[25],"The":[26,92,119,161],"ever-increasing":[27],"amount":[28],"of":[29,35,44,70,121,156,191],"acquired":[30],"requires":[32],"development":[34],"efficient":[36],"denoising":[37,94,165,217],"algorithms":[38],"that":[39,143,178],"will":[40],"enable":[41],"detection":[43],"gravitational-wave":[45,85,158],"events":[46],"embedded":[47],"low":[49,171],"signal-to-noise-ratio":[50],"(SNR)":[51],"environments.":[52],"In":[53],"this":[54],"paper,":[55],"an":[56],"algorithm":[57],"based":[58,198,202],"on":[59,99,203],"local":[61],"polynomial":[62],"approximation":[63],"(LPA)":[64],"combined":[65],"with":[66],"relative":[68],"intersection":[69,190],"confidence":[71,192],"intervals":[72,193],"(RICI)":[73],"rule":[74],"for":[75],"filter":[77],"support":[78],"selection":[79],"is":[80,97],"proposed":[81],"to":[82,137,228,236,250,258,267],"denoise":[83],"burst":[86,102,159],"signals":[87],"from":[88],"core":[89],"collapse":[90],"supernovae.":[91],"LPA-RICI":[93,145,180],"method's":[95],"performance":[96,166],"tested":[98],"three":[100,215],"different":[101,132,139],"signals,":[103],"numerically":[104],"generated":[105],"injected":[107],"into":[108],"real-life":[110],"noise":[111,150],"collected":[113],"detector.":[118],"analysis":[120,176],"experimental":[123],"results":[124],"obtained":[125],"several":[127],"case":[128],"studies":[129],"(conducted":[130],"at":[131,168],"signal":[133],"source":[134],"distances":[135],"corresponding":[136],"SNR":[140,172,225,233],"values)":[141],"indicates":[142],"method":[146,181,201],"efficiently":[147],"removes":[148],"simultaneously":[152],"preserves":[153],"morphology":[155],"signals.":[160],"technique":[162],"offers":[163],"reliable":[164],"even":[167],"very":[170],"values.":[173],"Moreover,":[174],"shows":[177],"outperforms":[182],"approach":[184],"combining":[185],"LPA":[186],"original":[189],"(ICI)":[194],"rule,":[195],"total-variation":[196],"(TV)":[197],"method,":[199],"neighboring":[205],"thresholding":[206],"short-time":[209],"Fourier":[210],"transform":[211],"(STFT)":[212],"domain,":[213],"wavelet-based":[216],"techniques":[218],"increasing":[220],"improvement":[222],"up":[227,235,249,257,266],"118.94%":[229],"peak":[232],"138.52%,":[237],"as":[238,240],"well":[239],"reducing":[242],"root":[244],"mean":[245,253],"squared":[246],"error":[247,255,264],"64.59%,":[251],"absolute":[254,263],"55.60%,":[259],"maximum":[262],"84.79%.":[268]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-02T08:37:19.008085","created_date":"2025-10-10T00:00:00"}
