{"id":"https://openalex.org/W2558970225","doi":"https://doi.org/10.1109/tnnls.2016.2628400","title":"Constrained Null Space Component Analysis for Semiblind Source Separation Problem","display_name":"Constrained Null Space Component Analysis for Semiblind Source Separation Problem","publication_year":2016,"publication_date":"2016-11-29","ids":{"openalex":"https://openalex.org/W2558970225","doi":"https://doi.org/10.1109/tnnls.2016.2628400","mag":"2558970225","pmid":"https://pubmed.ncbi.nlm.nih.gov/27913361"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2016.2628400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2016.2628400","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 and Learning Systems","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/A5058554535","display_name":"Wen-Liang Hwang","orcid":"https://orcid.org/0000-0002-5546-6575"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]},{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Liang Hwang","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan","Institute of Information Science, Academia Sinica, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-5546-6575","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]},{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210098366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080198733","display_name":"Keng-Shih Lu","orcid":"https://orcid.org/0000-0002-2085-8114"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keng-Shih Lu","raw_affiliation_strings":["Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA","Department of Electrical Engineering, University of Southern California, Los Angeles, CA , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Department of Electrical Engineering, University of Southern California, Los Angeles, CA , USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054557201","display_name":"Jinn Ho","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jinn Ho","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Taipei, Taiwan","[Institute of Information Science Academia Sinica, Taipei, Taiwan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210098366"]},{"raw_affiliation_string":"[Institute of Information Science Academia Sinica, Taipei, Taiwan]","institution_ids":["https://openalex.org/I4210098366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":1.6322,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.85399732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"29","issue":"2","first_page":"377","last_page":"391"},"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":0.972599983215332,"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/T11434","display_name":"Electrochemical Analysis and Applications","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/1603","display_name":"Electrochemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.7988958954811096},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.6905407309532166},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.6502720713615417},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.5554147362709045},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5349615216255188},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5264509320259094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5244938731193542},{"id":"https://openalex.org/keywords/null","display_name":"Null (SQL)","score":0.5203278064727783},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.48800984025001526},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.47911787033081055},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.445972740650177},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4434935748577118},{"id":"https://openalex.org/keywords/constrained-optimization-problem","display_name":"Constrained optimization problem","score":0.43881478905677795},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.43680667877197266},{"id":"https://openalex.org/keywords/component-analysis","display_name":"Component analysis","score":0.4305480718612671},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.41737374663352966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3463795781135559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19503054022789001},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15790393948554993},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.09306487441062927}],"concepts":[{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.7988958954811096},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.6905407309532166},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.6502720713615417},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.5554147362709045},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5349615216255188},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5264509320259094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5244938731193542},{"id":"https://openalex.org/C203763787","wikidata":"https://www.wikidata.org/wiki/Q371029","display_name":"Null (SQL)","level":2,"score":0.5203278064727783},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.48800984025001526},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.47911787033081055},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.445972740650177},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4434935748577118},{"id":"https://openalex.org/C2989514635","wikidata":"https://www.wikidata.org/wiki/Q5164377","display_name":"Constrained optimization problem","level":3,"score":0.43881478905677795},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.43680667877197266},{"id":"https://openalex.org/C2780692498","wikidata":"https://www.wikidata.org/wiki/Q16950721","display_name":"Component analysis","level":2,"score":0.4305480718612671},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.41737374663352966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3463795781135559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19503054022789001},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15790393948554993},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.09306487441062927},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2016.2628400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2016.2628400","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 and Learning Systems","raw_type":"journal-article"},{"id":"pmid:27913361","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27913361","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 and learning systems","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1487724874","https://openalex.org/W1503836574","https://openalex.org/W1748171189","https://openalex.org/W1822143055","https://openalex.org/W1943961782","https://openalex.org/W1946620893","https://openalex.org/W1964684330","https://openalex.org/W1987906574","https://openalex.org/W1996355918","https://openalex.org/W1997231965","https://openalex.org/W2019502123","https://openalex.org/W2020202591","https://openalex.org/W2031894560","https://openalex.org/W2034450065","https://openalex.org/W2038237443","https://openalex.org/W2050000141","https://openalex.org/W2050237878","https://openalex.org/W2059921811","https://openalex.org/W2060911580","https://openalex.org/W2079277602","https://openalex.org/W2082911114","https://openalex.org/W2099741732","https://openalex.org/W2102132711","https://openalex.org/W2103453322","https://openalex.org/W2105454037","https://openalex.org/W2105504486","https://openalex.org/W2118225305","https://openalex.org/W2118718620","https://openalex.org/W2119647652","https://openalex.org/W2123649031","https://openalex.org/W2124757684","https://openalex.org/W2132622200","https://openalex.org/W2133069808","https://openalex.org/W2133750763","https://openalex.org/W2139548979","https://openalex.org/W2141224535","https://openalex.org/W2142638745","https://openalex.org/W2143094923","https://openalex.org/W2145859699","https://openalex.org/W2149273154","https://openalex.org/W2150787035","https://openalex.org/W2153909896","https://openalex.org/W2154124003","https://openalex.org/W2163246442","https://openalex.org/W2172045185","https://openalex.org/W2951870246","https://openalex.org/W4232944527","https://openalex.org/W4285719527","https://openalex.org/W6629922185","https://openalex.org/W6640435808","https://openalex.org/W6675378234","https://openalex.org/W6677759377","https://openalex.org/W6679614148","https://openalex.org/W6679756777"],"related_works":["https://openalex.org/W2107364365","https://openalex.org/W2046761971","https://openalex.org/W2118307209","https://openalex.org/W1785857632","https://openalex.org/W4281722104","https://openalex.org/W2187523794","https://openalex.org/W2370924545","https://openalex.org/W1503525627","https://openalex.org/W3112853371","https://openalex.org/W2393502243"],"abstract_inverted_index":{"The":[0,36,133],"blind":[1],"source":[2,106],"separation":[3,183],"(BSS)":[4],"problem":[5],"extracts":[6],"unknown":[7,13],"sources":[8,29,33],"from":[9],"observations":[10],"of":[11,108,121,150],"their":[12],"mixtures.":[14],"A":[15],"current":[16],"trend":[17],"in":[18,97,153],"BSS":[19,159],"is":[20,88],"the":[21,32,50,61,70,73,79,98,105,109,119,122,127,158,173,187],"semiblind":[22],"approach,":[23],"which":[24,87],"incorporates":[25],"prior":[26],"information":[27],"on":[28,49,60,118,130],"or":[30],"how":[31],"are":[34,192],"mixed.":[35],"constrained":[37,141],"independent":[38],"component":[39,64],"analysis":[40],"(ICA)":[41],"approach":[42,58,71],"has":[43],"been":[44],"studied":[45],"to":[46,69],"impose":[47],"constraints":[48],"famous":[51],"ICA":[52],"framework.":[53],"We":[54,76],"introduced":[55],"an":[56],"alternative":[57],"based":[59],"null":[62],"space":[63],"(NCA)":[65],"framework":[66],"and":[67,144,185],"referred":[68],"as":[72,92,138],"c-NCA":[74,80,99,110,134,174],"approach.":[75,100],"also":[77],"presented":[78],"algorithm":[81,111],"that":[82,104],"uses":[83],"signal-dependent":[84],"semidefinite":[85],"operators,":[86],"a":[89,114,139,181],"bilinear":[90],"mapping,":[91],"signatures":[93],"for":[94,156],"operator":[95],"design":[96],"Theoretically,":[101],"we":[102,163],"showed":[103],"estimation":[107],"converges":[112],"with":[113,175],"convergence":[115],"rate":[116],"dependent":[117],"decay":[120],"sequence,":[123],"obtained":[124],"by":[125,172,179],"applying":[126],"estimated":[128],"operators":[129],"corresponding":[131],"sources.":[132],"can":[135,147,169],"be":[136,170],"formulated":[137],"deterministic":[140],"optimization":[142,154],"method,":[143],"thus,":[145],"it":[146],"take":[148],"advantage":[149],"solvers":[151],"developed":[152],"society":[155],"solving":[157],"problem.":[160],"As":[161],"examples,":[162],"demonstrated":[164],"electroencephalogram":[165],"interference":[166],"rejection":[167],"problems":[168],"solved":[171],"proximal":[176],"splitting":[177],"algorithms":[178],"incorporating":[180],"sparsity-enforcing":[182],"model":[184],"considering":[186],"case":[188],"when":[189],"reference":[190],"signals":[191],"available.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}