{"id":"https://openalex.org/W2162514423","doi":"https://doi.org/10.1109/msp.2013.2297715","title":"Static and Dynamic Source Separation Using Nonnegative Factorizations: A unified view","display_name":"Static and Dynamic Source Separation Using Nonnegative Factorizations: A unified view","publication_year":2014,"publication_date":"2014-04-07","ids":{"openalex":"https://openalex.org/W2162514423","doi":"https://doi.org/10.1109/msp.2013.2297715","mag":"2162514423"},"language":"en","primary_location":{"id":"doi:10.1109/msp.2013.2297715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2013.2297715","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Magazine","raw_type":"journal-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/A5038903729","display_name":"Paris Smaragdis","orcid":null},"institutions":[{"id":"https://openalex.org/I2801919071","display_name":"University of Illinois System","ror":"https://ror.org/05e94g991","country_code":"US","type":"education","lineage":["https://openalex.org/I2801919071"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Paris Smaragdis","raw_affiliation_strings":["University of Illinois System, Urbana, IL, US"],"affiliations":[{"raw_affiliation_string":"University of Illinois System, Urbana, IL, US","institution_ids":["https://openalex.org/I2801919071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022368934","display_name":"C\u00e9dric F\u00e9votte","orcid":"https://orcid.org/0000-0003-3801-5534"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cedric Fevotte","raw_affiliation_strings":["CNRS, Nice, United States"],"affiliations":[{"raw_affiliation_string":"CNRS, Nice, United States","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044614923","display_name":"Gautham J. Mysore","orcid":"https://orcid.org/0000-0003-0483-9252"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gautham J. Mysore","raw_affiliation_strings":["University College London, London, London, GB"],"affiliations":[{"raw_affiliation_string":"University College London, London, London, GB","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081426544","display_name":"Nasser Mohammadiha","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Nasser Mohammadiha","raw_affiliation_strings":["Electrical Engineering, KTH Royal Institute of Technology, Stockholm, 100 44, Sweden"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering, KTH Royal Institute of Technology, Stockholm, 100 44, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109851187","display_name":"Matthew D. Hoffman","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Hoffman","raw_affiliation_strings":["Columbia University, New York, NY, US"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, US","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5038903729"],"corresponding_institution_ids":["https://openalex.org/I2801919071"],"apc_list":null,"apc_paid":null,"fwci":20.0077,"has_fulltext":false,"cited_by_count":166,"citation_normalized_percentile":{"value":0.99652204,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"31","issue":"3","first_page":"66","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"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/T11309","display_name":"Music and Audio Processing","score":0.9894999861717224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7652648687362671},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.6558653116226196},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.607307493686676},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.48477238416671753},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4683641195297241},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4509716033935547},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.43079546093940735},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.42750993371009827},{"id":"https://openalex.org/keywords/separation-of-concerns","display_name":"Separation of concerns","score":0.41092342138290405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.343340665102005},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34325939416885376},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23050999641418457},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10788708925247192},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08068600296974182}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7652648687362671},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.6558653116226196},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.607307493686676},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.48477238416671753},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4683641195297241},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4509716033935547},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.43079546093940735},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.42750993371009827},{"id":"https://openalex.org/C76214141","wikidata":"https://www.wikidata.org/wiki/Q2465506","display_name":"Separation of concerns","level":3,"score":0.41092342138290405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.343340665102005},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34325939416885376},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23050999641418457},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10788708925247192},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08068600296974182},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/msp.2013.2297715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2013.2297715","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W46110029","https://openalex.org/W48643329","https://openalex.org/W104438260","https://openalex.org/W180176693","https://openalex.org/W1504438288","https://openalex.org/W1574263887","https://openalex.org/W1801637500","https://openalex.org/W1902027874","https://openalex.org/W1974387177","https://openalex.org/W1974774036","https://openalex.org/W1986227484","https://openalex.org/W2008565517","https://openalex.org/W2010757852","https://openalex.org/W2013608223","https://openalex.org/W2017630304","https://openalex.org/W2039844283","https://openalex.org/W2045405869","https://openalex.org/W2069214509","https://openalex.org/W2070135644","https://openalex.org/W2072503712","https://openalex.org/W2104104263","https://openalex.org/W2105617746","https://openalex.org/W2111158441","https://openalex.org/W2114508388","https://openalex.org/W2115109087","https://openalex.org/W2115938734","https://openalex.org/W2124149378","https://openalex.org/W2125604471","https://openalex.org/W2125838338","https://openalex.org/W2127851351","https://openalex.org/W2135104405","https://openalex.org/W2135151673","https://openalex.org/W2147834639","https://openalex.org/W2149414429","https://openalex.org/W2150415460","https://openalex.org/W2155531311","https://openalex.org/W2160485598","https://openalex.org/W2161620716","https://openalex.org/W2163927692","https://openalex.org/W2165530388","https://openalex.org/W2168446235","https://openalex.org/W2404400936","https://openalex.org/W2406447034","https://openalex.org/W2963625764","https://openalex.org/W4233135949","https://openalex.org/W6604282513","https://openalex.org/W6675907514","https://openalex.org/W6679714990","https://openalex.org/W6681822791","https://openalex.org/W6713863964","https://openalex.org/W6991377603"],"related_works":["https://openalex.org/W1509813908","https://openalex.org/W2031820693","https://openalex.org/W1910172735","https://openalex.org/W2107364365","https://openalex.org/W2118307209","https://openalex.org/W2113403277","https://openalex.org/W2137288760","https://openalex.org/W2889447638","https://openalex.org/W2539388437","https://openalex.org/W1785857632"],"abstract_inverted_index":{"Source":[0],"separation":[1],"models":[2],"that":[3,64],"make":[4,65],"use":[5],"of":[6,25,69,85,103],"nonnegativity":[7],"in":[8,16,45,90,97],"their":[9],"parameters":[10],"have":[11],"been":[12],"gaining":[13],"increasing":[14],"popularity":[15],"the":[17,28,59,86,91,104],"last":[18],"few":[19],"years,":[20],"spawning":[21],"a":[22,75,82],"significant":[23],"number":[24],"publications":[26],"on":[27],"topic.":[29],"Although":[30],"these":[31],"techniques":[32],"are":[33,41],"conceptually":[34],"similar":[35],"to":[36],"other":[37],"matrix":[38],"decompositions,":[39],"they":[40],"surprisingly":[42],"more":[43,98],"effective":[44],"extracting":[46],"perceptually":[47],"meaningful":[48],"sources":[49],"from":[50],"complex":[51],"mixtures.":[52],"In":[53],"this":[54,67],"article,":[55],"we":[56,94],"will":[57,79,95],"examine":[58],"various":[60],"methodologies":[61],"and":[62,71,89,100],"extensions":[63],"up":[66],"family":[68],"approaches":[70],"present":[72],"them":[73],"under":[74],"unified":[76],"framework.":[77],"We":[78],"begin":[80],"with":[81],"short":[83],"description":[84],"basic":[87],"concepts":[88],"subsequent":[92],"sections":[93],"delve":[96],"details":[99],"explore":[101],"some":[102],"latest":[105],"extensions.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":19},{"year":2016,"cited_by_count":31},{"year":2015,"cited_by_count":15},{"year":2014,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}