{"id":"https://openalex.org/W2205924474","doi":"https://doi.org/10.1109/eusipco.2015.7362681","title":"An unified approach for blind source separation using sparsity and decorrelation","display_name":"An unified approach for blind source separation using sparsity and decorrelation","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2205924474","doi":"https://doi.org/10.1109/eusipco.2015.7362681","mag":"2205924474"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2015.7362681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5104180799","display_name":"Fangchen Feng","orcid":"https://orcid.org/0000-0002-3158-3443"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fangchen Feng","raw_affiliation_strings":["CNRS, Univ Paris-Sud, Gif-sur-Yvette, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Univ Paris-Sud, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048194682","display_name":"Matthieu Kowalski","orcid":"https://orcid.org/0000-0002-9981-237X"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I2801360556","display_name":"CEA Paris-Saclay - Etablissement de Saclay","ror":"https://ror.org/01fv25t22","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I2801360556","https://openalex.org/I4210128565"]},{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Matthieu Kowalski","raw_affiliation_strings":["CNRS, Univ Paris-Sud, Gif-sur-Yvette, France","Parietal project-team, CEA-Saclay, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Univ Paris-Sud, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Parietal project-team, CEA-Saclay, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I2801360556","https://openalex.org/I4210128565"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4568,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82939564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1736","last_page":"1740"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decorrelation","display_name":"Decorrelation","score":0.9773409962654114},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.8911178112030029},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.87151038646698},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.7124289274215698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6864076256752014},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6465510725975037},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.5606147050857544},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.4650465250015259},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4551342725753784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44537264108657837},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.43911212682724},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.420229434967041},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25810298323631287},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24776485562324524},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10269510746002197},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0702638030052185}],"concepts":[{"id":"https://openalex.org/C177860922","wikidata":"https://www.wikidata.org/wiki/Q788608","display_name":"Decorrelation","level":2,"score":0.9773409962654114},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.8911178112030029},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.87151038646698},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.7124289274215698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6864076256752014},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6465510725975037},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.5606147050857544},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.4650465250015259},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4551342725753784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44537264108657837},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43911212682724},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.420229434967041},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25810298323631287},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24776485562324524},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10269510746002197},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0702638030052185},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/eusipco.2015.7362681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01199620v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01199620","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"23rd European Signal Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W64359228","https://openalex.org/W87112183","https://openalex.org/W1540764732","https://openalex.org/W1755563775","https://openalex.org/W1971168247","https://openalex.org/W1987906574","https://openalex.org/W2006262045","https://openalex.org/W2027982384","https://openalex.org/W2038614136","https://openalex.org/W2058408209","https://openalex.org/W2059921811","https://openalex.org/W2077007051","https://openalex.org/W2084678078","https://openalex.org/W2099741732","https://openalex.org/W2124906580","https://openalex.org/W2127851351","https://openalex.org/W2128638419","https://openalex.org/W2259139337","https://openalex.org/W2802627035","https://openalex.org/W2953139536","https://openalex.org/W6657500373","https://openalex.org/W6678757208","https://openalex.org/W6692017308"],"related_works":["https://openalex.org/W2152159337","https://openalex.org/W2986257562","https://openalex.org/W2046761971","https://openalex.org/W2107364365","https://openalex.org/W2118307209","https://openalex.org/W1785857632","https://openalex.org/W4281722104","https://openalex.org/W2187523794","https://openalex.org/W2553224454","https://openalex.org/W1503525627"],"abstract_inverted_index":{"Independent":[0],"component":[1],"analysis":[2],"(ICA)":[3],"has":[4,40],"been":[5],"a":[6,65],"major":[7],"tool":[8],"for":[9,27,46,99],"blind":[10],"source":[11],"separation":[12],"(BSS).":[13],"Both":[14],"theoretical":[15],"and":[16,70,87],"practical":[17],"evaluations":[18],"showed":[19],"that":[20,57,79],"the":[21,31,80,93],"hypothesis":[22],"of":[23,60,68,96],"independence":[24],"suits":[25],"well":[26],"audio":[28,100],"signals.":[29],"In":[30],"last":[32],"few":[33],"years,":[34],"optimization":[35],"approach":[36],"based":[37],"on":[38],"sparsity":[39,71],"emerged":[41],"as":[42],"another":[43],"efficient":[44],"implement":[45],"BSS.":[47],"This":[48],"paper":[49],"starts":[50],"from":[51],"introducing":[52],"some":[53],"new":[54],"BSS":[55],"methods":[56,82],"take":[58],"advantages":[59],"both":[61,85],"decorrelation":[62],"(which":[63],"is":[64,77],"direct":[66],"consequence":[67],"independence)":[69],"using":[72],"overcomplete":[73],"Gabor":[74],"representation.":[75],"It":[76],"shown":[78],"proposed":[81],"work":[83],"in":[84],"under-determined":[86],"over-determined":[88],"cases.":[89],"Experimental":[90],"results":[91],"illustrate":[92],"good":[94],"performances":[95],"these":[97],"approaches":[98],"mixtures.":[101]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
