{"id":"https://openalex.org/W2112069101","doi":"https://doi.org/10.1109/tnn.2011.2109396","title":"Online Blind Source Separation Using Incremental Nonnegative Matrix Factorization With Volume Constraint","display_name":"Online Blind Source Separation Using Incremental Nonnegative Matrix Factorization With Volume Constraint","publication_year":2011,"publication_date":"2011-03-04","ids":{"openalex":"https://openalex.org/W2112069101","doi":"https://doi.org/10.1109/tnn.2011.2109396","mag":"2112069101","pmid":"https://pubmed.ncbi.nlm.nih.gov/21382767"},"language":"en","primary_location":{"id":"doi:10.1109/tnn.2011.2109396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnn.2011.2109396","pdf_url":null,"source":{"id":"https://openalex.org/S42080949","display_name":"IEEE Transactions on Neural Networks","issn_l":"1045-9227","issn":["1045-9227","1941-0093"],"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 Transactions on Neural Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5090101808","display_name":"Guoxu Zhou","orcid":"https://orcid.org/0000-0003-1187-577X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoxu Zhou","raw_affiliation_strings":["School of Electronics and Information Engineering, South China University of Technology, Guangzhou 510641, China. zhou.guoxu@mail.scut.edu.cn","Sch. of Electron. & Inf. Eng., South China Univ. of Tech, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, South China University of Technology, Guangzhou 510641, China. zhou.guoxu@mail.scut.edu.cn","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Sch. of Electron. & Inf. Eng., South China Univ. of Tech, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069624559","display_name":"Zuyuan Yang","orcid":"https://orcid.org/0000-0003-2030-707X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuyuan Yang","raw_affiliation_strings":["School of Electronics and Information Engineering, South China University of Technology, Guangzhou, China","Sch. of Electron. & Inf. Eng., South China Univ. of Tech, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Sch. of Electron. & Inf. Eng., South China Univ. of Tech, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043262479","display_name":"Shengli Xie","orcid":"https://orcid.org/0000-0003-2041-5214"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengli Xie","raw_affiliation_strings":["School of Electronics and Information Engineering, South China University of Technology, Guangzhou, China","Sch. of Electron. & Inf. Eng., South China Univ. of Tech, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Sch. of Electron. & Inf. Eng., South China Univ. of Tech, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101795525","display_name":"Junmei Yang","orcid":"https://orcid.org/0000-0002-9677-0768"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun-Mei Yang","raw_affiliation_strings":["School of Electronics and Information Engineering, South China University of Technology, Guangzhou, China","Sch. of Electron. & Inf. Eng., South China Univ. of Tech, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Sch. of Electron. & Inf. Eng., South China Univ. of Tech, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.6112,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.98912336,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"22","issue":"4","first_page":"550","last_page":"560"},"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":0.9972000122070312,"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":0.9726999998092651,"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/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.8815889358520508},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.7948654294013977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6487200260162354},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5576432347297668},{"id":"https://openalex.org/keywords/identifiability","display_name":"Identifiability","score":0.5295147895812988},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4841192662715912},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4813190698623657},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.42784327268600464},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.322030246257782},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2726457715034485},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14780518412590027}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8815889358520508},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.7948654294013977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6487200260162354},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5576432347297668},{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.5295147895812988},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4841192662715912},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4813190698623657},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.42784327268600464},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.322030246257782},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2726457715034485},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14780518412590027},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009862","descriptor_name":"Online Systems","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009862","descriptor_name":"Online Systems","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009862","descriptor_name":"Online Systems","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tnn.2011.2109396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnn.2011.2109396","pdf_url":null,"source":{"id":"https://openalex.org/S42080949","display_name":"IEEE Transactions on Neural Networks","issn_l":"1045-9227","issn":["1045-9227","1941-0093"],"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 Transactions on Neural Networks","raw_type":"journal-article"},{"id":"pmid:21382767","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21382767","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":"IEEE transactions on neural networks","raw_type":null},{"id":"pmh:oai:dro.deakin.edu.au:DU:30059341","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402457","display_name":"Deakin Research Online (Deakin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","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":47,"referenced_works":["https://openalex.org/W271314235","https://openalex.org/W1514159701","https://openalex.org/W1902027874","https://openalex.org/W1914599625","https://openalex.org/W1969900471","https://openalex.org/W1970789124","https://openalex.org/W1977067929","https://openalex.org/W1986810676","https://openalex.org/W1996355918","https://openalex.org/W2017288758","https://openalex.org/W2023062008","https://openalex.org/W2037433057","https://openalex.org/W2041930136","https://openalex.org/W2043511730","https://openalex.org/W2048393261","https://openalex.org/W2054295885","https://openalex.org/W2082639035","https://openalex.org/W2099741732","https://openalex.org/W2101837437","https://openalex.org/W2105345414","https://openalex.org/W2105454037","https://openalex.org/W2114560082","https://openalex.org/W2116914769","https://openalex.org/W2118943995","https://openalex.org/W2130789253","https://openalex.org/W2130855892","https://openalex.org/W2131167870","https://openalex.org/W2132538571","https://openalex.org/W2134292367","https://openalex.org/W2134432876","https://openalex.org/W2135029798","https://openalex.org/W2141224535","https://openalex.org/W2141681031","https://openalex.org/W2149818355","https://openalex.org/W2156338897","https://openalex.org/W2161327982","https://openalex.org/W2162883778","https://openalex.org/W2163202748","https://openalex.org/W2165685007","https://openalex.org/W2168287525","https://openalex.org/W2404400936","https://openalex.org/W2533536749","https://openalex.org/W3152461908","https://openalex.org/W4247969042","https://openalex.org/W4297787516","https://openalex.org/W6677756020","https://openalex.org/W6680012447"],"related_works":["https://openalex.org/W2339777604","https://openalex.org/W1562291047","https://openalex.org/W1984255382","https://openalex.org/W2156699640","https://openalex.org/W2547262076","https://openalex.org/W2361100278","https://openalex.org/W2037504162","https://openalex.org/W3122558024","https://openalex.org/W2911473620","https://openalex.org/W2112069101"],"abstract_inverted_index":{"Online":[0],"blind":[1],"source":[2],"separation":[3],"(BSS)":[4],"is":[5,74],"proposed":[6,105,149],"to":[7,33,47,58,85],"overcome":[8,59],"the":[9,16,25,49,60,63,86,90,93,96,101,110,123,145,148],"high":[10,140],"computational":[11,102],"cost":[12],"problem,":[13],"which":[14],"limits":[15],"practical":[17],"applications":[18],"of":[19,62,92,109,125,147],"traditional":[20],"batch":[21],"BSS":[22,28,130],"algorithms.":[23],"However,":[24],"existing":[26],"online":[27,80,135],"methods":[29],"are":[30,55],"mainly":[31],"used":[32],"separate":[34,48],"independent":[35],"or":[36],"uncorrelated":[37],"sources.":[38,127],"Recently,":[39],"nonnegative":[40],"matrix":[41,88],"factorization":[42],"(NMF)":[43],"shows":[44],"great":[45],"potential":[46],"correlative":[50,141],"sources,":[51,94],"where":[52],"some":[53],"constraints":[54],"often":[56],"imposed":[57],"non-uniqueness":[61],"factorization.":[64],"In":[65],"this":[66],"paper,":[67],"an":[68],"incremental":[69,97],"NMF":[70],"with":[71],"volume":[72,83],"constraint":[73,84],"derived":[75],"and":[76,117,139],"utilized":[77],"for":[78,131],"solving":[79],"BSS.":[81],"The":[82,104],"mixing":[87],"enhances":[89],"identifiability":[91],"while":[95],"learning":[98],"mode":[99],"reduces":[100],"cost.":[103],"method":[106],"takes":[107],"advantage":[108],"natural":[111],"gradient":[112],"based":[113],"multiplication":[114],"updating":[115],"rule,":[116],"it":[118],"performs":[119],"especially":[120],"well":[121],"in":[122,129],"recovery":[124],"dependent":[126],"Simulations":[128],"dual-energy":[132],"X-ray":[133],"images,":[134],"encrypted":[136],"speech":[137],"signals,":[138],"face":[142],"images":[143],"show":[144],"validity":[146],"method.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":15},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":10}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
