{"id":"https://openalex.org/W2987027330","doi":"https://doi.org/10.23919/eusipco.2019.8903087","title":"A Unifying Framework for Blind Source Separation Based on A Joint Diagonalizability Constraint","display_name":"A Unifying Framework for Blind Source Separation Based on A Joint Diagonalizability Constraint","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2987027330","doi":"https://doi.org/10.23919/eusipco.2019.8903087","mag":"2987027330"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2019.8903087","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8903087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th 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/A5084590882","display_name":"Rintaro Ikeshita","orcid":"https://orcid.org/0000-0003-2608-1999"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Rintaro Ikeshita","raw_affiliation_strings":["NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101438174","display_name":"Nobutaka Ito","orcid":"https://orcid.org/0000-0001-9740-6848"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobutaka Ito","raw_affiliation_strings":["NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021240106","display_name":"Tomohiro Nakatani","orcid":"https://orcid.org/0000-0002-7487-7150"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohiro Nakatani","raw_affiliation_strings":["NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007032557","display_name":"Hiroshi Sawada","orcid":"https://orcid.org/0000-0002-4831-9286"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Sawada","raw_affiliation_strings":["NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9994999766349792,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/blind-signal-separation","display_name":"Blind signal separation","score":0.7876207828521729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6689163446426392},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6470896601676941},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6057643890380859},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.593529462814331},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.5881473422050476},{"id":"https://openalex.org/keywords/component-analysis","display_name":"Component analysis","score":0.5752755403518677},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5685575604438782},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5480305552482605},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.5473686456680298},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4988276958465576},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.456668883562088},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.41931402683258057},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3940927982330322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3231510519981384},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2872220277786255},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16831716895103455}],"concepts":[{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.7876207828521729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6689163446426392},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6470896601676941},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6057643890380859},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.593529462814331},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.5881473422050476},{"id":"https://openalex.org/C2780692498","wikidata":"https://www.wikidata.org/wiki/Q16950721","display_name":"Component analysis","level":2,"score":0.5752755403518677},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5685575604438782},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5480305552482605},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.5473686456680298},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4988276958465576},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.456668883562088},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.41931402683258057},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3940927982330322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3231510519981384},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2872220277786255},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16831716895103455},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2019.8903087","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8903087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W41179353","https://openalex.org/W1543386260","https://openalex.org/W1876052200","https://openalex.org/W1983812858","https://openalex.org/W2014768838","https://openalex.org/W2027884847","https://openalex.org/W2039844283","https://openalex.org/W2072548008","https://openalex.org/W2113990625","https://openalex.org/W2117332620","https://openalex.org/W2119647652","https://openalex.org/W2127851351","https://openalex.org/W2135029798","https://openalex.org/W2143027228","https://openalex.org/W2164502538","https://openalex.org/W2168273590","https://openalex.org/W2170768669","https://openalex.org/W2412956798","https://openalex.org/W2800675406","https://openalex.org/W2803133183","https://openalex.org/W2804271779","https://openalex.org/W2903055851","https://openalex.org/W2903219940","https://openalex.org/W2937284863","https://openalex.org/W2964080410","https://openalex.org/W3143596294","https://openalex.org/W6601726404","https://openalex.org/W6632571750","https://openalex.org/W6678799340","https://openalex.org/W6680012447","https://openalex.org/W6715525401","https://openalex.org/W6750948671","https://openalex.org/W6751556732"],"related_works":["https://openalex.org/W2107364365","https://openalex.org/W2118307209","https://openalex.org/W1785857632","https://openalex.org/W2166724900","https://openalex.org/W4281722104","https://openalex.org/W2187523794","https://openalex.org/W2370924545","https://openalex.org/W1503525627","https://openalex.org/W2553224454","https://openalex.org/W3112853371"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,29,43,75,82,101],"unifying":[3],"framework":[4,34],"for":[5],"dealing":[6],"with":[7],"convolutive":[8],"blind":[9],"source":[10],"separation":[11,98],"(BSS),":[12],"which":[13],"fully":[14],"models":[15],"inter-channel,":[16],"inter-frequency,":[17],"and":[18,48,68,81],"inter-frame":[19],"correlation":[20],"of":[21,45,78,85,100],"sources":[22],"by":[23],"latent":[24],"covariance":[25,65],"matrices":[26],"subject":[27],"to":[28,37,105],"joint":[30],"diagonalizability":[31],"constraint.":[32],"The":[33],"is":[35],"shown":[36],"encompass":[38],"as":[39],"its":[40],"specific":[41],"realizations":[42],"variety":[44],"standard":[46],"BSS":[47,88,91],"dereverberation":[49],"methods":[50,80],"that":[51],"have":[52],"been":[53],"developed":[54],"independently,":[55],"including":[56],"frequency-domain":[57],"independent":[58,108],"component":[59],"analysis":[60,66],"(FDICA),":[61],"fast":[62],"full-rank":[63],"spatial":[64],"(FastFCA),":[67],"weighted":[69],"prediction":[70],"error":[71],"(WPE).":[72],"This":[73],"gives":[74],"unified":[76],"view":[77],"conventional":[79],"systematic":[83],"way":[84],"deriving":[86],"new":[87],"methods.":[89],"A":[90],"experiment":[92],"on":[93],"speech":[94],"mixtures":[95],"showed":[96],"improved":[97],"performance":[99],"proposed":[102],"method":[103],"compared":[104],"the":[106],"state-of-the-art":[107],"low-rank":[109],"matrix":[110],"analysis.":[111]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}