{"id":"https://openalex.org/W2111064643","doi":"https://doi.org/10.1109/icassp.2008.4518404","title":"Blind separation of non-negative sources by convex analysis: Effective method using linear programming","display_name":"Blind separation of non-negative sources by convex analysis: Effective method using linear programming","publication_year":2008,"publication_date":"2008-03-01","ids":{"openalex":"https://openalex.org/W2111064643","doi":"https://doi.org/10.1109/icassp.2008.4518404","mag":"2111064643"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2008.4518404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4518404","pdf_url":null,"source":{"id":"https://openalex.org/S4210167542","display_name":"Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5106725197","display_name":"Tsung\u2010Han Chan","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsung-Han Chan","raw_affiliation_strings":["Institute Commun. Engineering, National Tsing Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute Commun. Engineering, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016986549","display_name":"Wing\u2010Kin Ma","orcid":"https://orcid.org/0000-0001-7314-3537"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["HK","TW"],"is_corresponding":false,"raw_author_name":"Wing-Kin Ma","raw_affiliation_strings":["Department Electronic Engineering, Chinese University of Hong Kong, New Territories, Hong Kong, China","Institute Commun. Engineering, National Tsing Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department Electronic Engineering, Chinese University of Hong Kong, New Territories, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Institute Commun. Engineering, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061813280","display_name":"Chong\u2010Yung Chi","orcid":"https://orcid.org/0000-0001-5004-7155"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chong-Yung Chi","raw_affiliation_strings":["Institute Commun. Engineering, National Tsing Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute Commun. Engineering, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100666595","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0001-5918-7525"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["Department Elect., Computer,  & Biomed. Engineering, Virginia Institute of Technology and State University, Arlington, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department Elect., Computer,  & Biomed. Engineering, Virginia Institute of Technology and State University, Arlington, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"401","issue":null,"first_page":"3493","last_page":"3496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9236999750137329,"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/maxima-and-minima","display_name":"Maxima and minima","score":0.753299355506897},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.7271748781204224},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.6404120922088623},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.567202091217041},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5255041122436523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5249790549278259},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.52065509557724},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5018761157989502},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5005927085876465},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4961848855018616},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.4752647280693054},{"id":"https://openalex.org/keywords/extreme-point","display_name":"Extreme point","score":0.4489606022834778},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3951202929019928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1759280264377594},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09730887413024902},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07887211441993713}],"concepts":[{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.753299355506897},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.7271748781204224},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.6404120922088623},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.567202091217041},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5255041122436523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5249790549278259},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.52065509557724},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5018761157989502},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5005927085876465},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4961848855018616},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.4752647280693054},{"id":"https://openalex.org/C39847760","wikidata":"https://www.wikidata.org/wiki/Q1385465","display_name":"Extreme point","level":2,"score":0.4489606022834778},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3951202929019928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1759280264377594},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09730887413024902},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07887211441993713},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2008.4518404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4518404","pdf_url":null,"source":{"id":"https://openalex.org/S4210167542","display_name":"Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.95.6827","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.95.6827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ee.cuhk.edu.hk/~wkma/CAMNS/download/CAMNS_ICASSP08.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1902027874","https://openalex.org/W2000868500","https://openalex.org/W2020378611","https://openalex.org/W2028681811","https://openalex.org/W2093903024","https://openalex.org/W2115163184","https://openalex.org/W2126344578","https://openalex.org/W2131689618","https://openalex.org/W2140426615","https://openalex.org/W2140501674","https://openalex.org/W2164667327","https://openalex.org/W2296319761","https://openalex.org/W2545097679","https://openalex.org/W2798909945","https://openalex.org/W4250589301","https://openalex.org/W4300944896","https://openalex.org/W6680959731"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W3188646203","https://openalex.org/W2909957174","https://openalex.org/W4246278799","https://openalex.org/W136674370","https://openalex.org/W3092736858","https://openalex.org/W3777771","https://openalex.org/W2792764488","https://openalex.org/W3213786855"],"abstract_inverted_index":{"We":[0],"recently":[1],"reported":[2],"a":[3,12,83],"criterion":[4,37],"for":[5,18,31,66,73],"blind":[6],"separation":[7],"of":[8,20,53,96,122,128,142],"non-negative":[9,21],"sources,":[10],"using":[11],"new":[13],"concept":[14],"called":[15],"convex":[16,56],"analysis":[17],"mixtures":[19],"sources":[22],"(CAMNS).":[23],"Under":[24],"some":[25,54],"assumptions":[26],"that":[27,39,90,110],"are":[28,136],"considered":[29],"realistic":[30],"sparse":[32],"or":[33],"high-contrast":[34],"signals,":[35],"the":[36,40,50,68,111,120,129,140,143],"is":[38,91],"true":[41],"source":[42],"signals":[43],"can":[44],"be":[45],"perfectly":[46],"recovered":[47],"by":[48],"finding":[49],"extreme":[51],"points":[52],"observation-constructed":[55],"set.":[57],"In":[58,78],"our":[59],"last":[60],"work":[61],"we":[62,81],"also":[63],"developed":[64],"methods":[65],"fulfilling":[67],"CAMNS":[69],"criterion,":[70],"but":[71],"only":[72],"two":[74,102],"to":[75,93,138],"three":[76],"sources.":[77,97],"this":[79],"paper":[80],"propose":[82],"systematic":[84],"linear":[85],"programming":[86],"(LP)":[87],"based":[88],"method":[89,100,112,131],"applicable":[92],"any":[94],"number":[95],"The":[98],"proposed":[99,130,144],"has":[101],"advantages.":[103],"First,":[104],"its":[105],"dependence":[106],"on":[107],"LP":[108,123],"means":[109],"does":[113],"not":[114],"suffer":[115],"from":[116],"local":[117],"minima.":[118],"Second,":[119],"maturity":[121],"solvers":[124],"enables":[125],"efficient":[126],"implementation":[127],"in":[132],"practice.":[133],"Simulation":[134],"results":[135],"provided":[137],"demonstrate":[139],"efficacy":[141],"method.":[145]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
