{"id":"https://openalex.org/W1995129682","doi":"https://doi.org/10.1109/isspit.2012.6621303","title":"Emd-based filtering using the Hausdorff distance","display_name":"Emd-based filtering using the Hausdorff distance","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W1995129682","doi":"https://doi.org/10.1109/isspit.2012.6621303","mag":"1995129682"},"language":"en","primary_location":{"id":"doi:10.1109/isspit.2012.6621303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2012.6621303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030911108","display_name":"Ali Komaty","orcid":"https://orcid.org/0000-0002-7329-587X"},"institutions":[{"id":"https://openalex.org/I183158303","display_name":"\u00c9cole Navale","ror":"https://ror.org/030txnd05","country_code":"FR","type":"education","lineage":["https://openalex.org/I183158303"]},{"id":"https://openalex.org/I2801296886","display_name":"Institut de Recherche de l\u2019\u00c9cole Navale","ror":"https://ror.org/01v6shv96","country_code":"FR","type":"facility","lineage":["https://openalex.org/I183158303","https://openalex.org/I190752583","https://openalex.org/I190861549","https://openalex.org/I2801296886","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ali Komaty","raw_affiliation_strings":["IRENav, Ecole Navale, Brest, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRENav, Ecole Navale, Brest, France","institution_ids":["https://openalex.org/I183158303","https://openalex.org/I2801296886"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004893718","display_name":"Abdel\u2010Ouahab Boudraa","orcid":"https://orcid.org/0000-0002-1864-2859"},"institutions":[{"id":"https://openalex.org/I183158303","display_name":"\u00c9cole Navale","ror":"https://ror.org/030txnd05","country_code":"FR","type":"education","lineage":["https://openalex.org/I183158303"]},{"id":"https://openalex.org/I2801296886","display_name":"Institut de Recherche de l\u2019\u00c9cole Navale","ror":"https://ror.org/01v6shv96","country_code":"FR","type":"facility","lineage":["https://openalex.org/I183158303","https://openalex.org/I190752583","https://openalex.org/I190861549","https://openalex.org/I2801296886","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Abdel Boudraa","raw_affiliation_strings":["IRENav, Ecole Navale, Brest, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRENav, Ecole Navale, Brest, France","institution_ids":["https://openalex.org/I183158303","https://openalex.org/I2801296886"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015302886","display_name":"Delphine Dar\u00e9","orcid":null},"institutions":[{"id":"https://openalex.org/I183158303","display_name":"\u00c9cole Navale","ror":"https://ror.org/030txnd05","country_code":"FR","type":"education","lineage":["https://openalex.org/I183158303"]},{"id":"https://openalex.org/I2801296886","display_name":"Institut de Recherche de l\u2019\u00c9cole Navale","ror":"https://ror.org/01v6shv96","country_code":"FR","type":"facility","lineage":["https://openalex.org/I183158303","https://openalex.org/I190752583","https://openalex.org/I190861549","https://openalex.org/I2801296886","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Delphine Dare","raw_affiliation_strings":["IRENav, Ecole Navale, Brest, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRENav, Ecole Navale, Brest, France","institution_ids":["https://openalex.org/I183158303","https://openalex.org/I2801296886"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2738,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.88684247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"000292","last_page":"000297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12086","display_name":"Structural Integrity and Reliability Analysis","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.8889484405517578},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.703048586845398},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.6321249008178711},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5866830945014954},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5593199133872986},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5526870489120483},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.551449179649353},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5490201711654663},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5204972624778748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4942903518676758},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48872923851013184},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.48554059863090515},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.449870765209198},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.44730114936828613},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4458779990673065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4319293200969696},{"id":"https://openalex.org/keywords/hausdorff-space","display_name":"Hausdorff space","score":0.4135130047798157},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37983500957489014},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20333591103553772},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13022702932357788},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.07001206278800964}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.8889484405517578},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.703048586845398},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.6321249008178711},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5866830945014954},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5593199133872986},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5526870489120483},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.551449179649353},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5490201711654663},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5204972624778748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4942903518676758},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48872923851013184},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.48554059863090515},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.449870765209198},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.44730114936828613},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4458779990673065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4319293200969696},{"id":"https://openalex.org/C191399826","wikidata":"https://www.wikidata.org/wiki/Q326908","display_name":"Hausdorff space","level":2,"score":0.4135130047798157},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37983500957489014},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20333591103553772},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13022702932357788},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.07001206278800964},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspit.2012.6621303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2012.6621303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W397076878","https://openalex.org/W2007221293","https://openalex.org/W2024866217","https://openalex.org/W2043253481","https://openalex.org/W2059307943","https://openalex.org/W2066980082","https://openalex.org/W2098395403","https://openalex.org/W2121951519","https://openalex.org/W2129276500","https://openalex.org/W2160097539","https://openalex.org/W2504528620","https://openalex.org/W4237207237","https://openalex.org/W4388290870","https://openalex.org/W6661333666"],"related_works":["https://openalex.org/W2886349793","https://openalex.org/W1144450175","https://openalex.org/W1911817635","https://openalex.org/W2810224748","https://openalex.org/W2353656796","https://openalex.org/W2011915004","https://openalex.org/W2074565401","https://openalex.org/W1607924090","https://openalex.org/W2031465436","https://openalex.org/W1512585147"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,57,61],"new":[4,103],"signal-filtering":[5],"method,":[6],"which":[7],"combines":[8],"the":[9,15,41,80,85,88,91,102,110,117,125,143],"empirical":[10,65],"mode":[11,31],"decomposition":[12],"(EMD)":[13],"and":[14,94,124],"Hausdorff":[16],"distance":[17],"(\u210cD).":[18],"A":[19],"noisy":[20,92],"signal":[21,52,93],"is":[22,53,148],"adaptively":[23],"broken":[24],"down":[25],"into":[26],"oscillatory":[27],"components":[28],"called":[29],"intrinsic":[30],"functions":[32],"(IMFs)":[33],"by":[34,37,55,153],"EMD":[35],"followed":[36],"an":[38,74],"estimation":[39],"of":[40,46,64,90,96,101,109],"probability":[42],"density":[43],"function":[44],"(pdf)":[45],"each":[47,97],"extracted":[48],"mode.":[49,98],"The":[50,70,146],"filtered":[51],"obtained":[54,144],"performing":[56],"partial":[58],"reconstruction":[59],"using":[60],"selected":[62],"set":[63],"modes":[66,82],"(termed":[67],"relevant":[68,81],"modes).":[69],"article":[71],"focuses":[72],"on":[73,84],"intuitive":[75],"geometrical":[76],"approach":[77,121,128],"to":[78,107,141,150],"identify":[79],"based":[83],"\u210cD":[86],"between":[87],"pdf":[89],"that":[95],"Obtained":[99],"results":[100],"filtering":[104],"are":[105,139],"compared":[106],"those":[108],"EMD-CMSE":[111],"(Consecutive":[112],"Minimum":[113],"Square":[114],"Error)":[115],"[1],":[116],"White":[118],"Noise":[119],"characteristics":[120],"EMD-WN":[122],"[2]":[123],"Selection":[126],"Criterion":[127],"EMD-SC":[129],"[3].":[130],"Dn":[131],"different":[132],"signals":[133,151],"with":[134],"varying":[135],"signal-to-noise":[136],"ratio":[137],"values":[138],"used":[140],"validate":[142],"results.":[145],"study":[147],"limited":[149],"corrupted":[152],"additive":[154],"white":[155],"Gaussian":[156],"noise.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
