{"id":"https://openalex.org/W2055269080","doi":"https://doi.org/10.1155/2009/694850","title":"Determining Number of Independent Sources in Undercomplete Mixture","display_name":"Determining Number of Independent Sources in Undercomplete Mixture","publication_year":2009,"publication_date":"2009-09-28","ids":{"openalex":"https://openalex.org/W2055269080","doi":"https://doi.org/10.1155/2009/694850","mag":"2055269080"},"language":"en","primary_location":{"id":"doi:10.1155/2009/694850","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2009/694850","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2009/694850","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2009/694850","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029523168","display_name":"Ganesh R. Naik","orcid":"https://orcid.org/0000-0003-1790-9838"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Ganesh R. Naik","raw_affiliation_strings":["School of Electrical and Computer Engineering, RMIT University, GPO Box 2476V, Melbourne, VIC, 3001, Australia","School of Electrical and Computer Engineering, RMIT University, Melbourne, VIC, Australia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, RMIT University, GPO Box 2476V, Melbourne, VIC, 3001, Australia","institution_ids":["https://openalex.org/I82951845"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, RMIT University, Melbourne, VIC, Australia#TAB#","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100328491","display_name":"Dinesh Kumar","orcid":"https://orcid.org/0000-0003-3602-4023"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dinesh K. Kumar","raw_affiliation_strings":["School of Electrical and Computer Engineering, RMIT University, GPO Box 2476V, Melbourne, VIC, 3001, Australia","School of Electrical and Computer Engineering, RMIT University, Melbourne, VIC, Australia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, RMIT University, GPO Box 2476V, Melbourne, VIC, 3001, Australia","institution_ids":["https://openalex.org/I82951845"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, RMIT University, Melbourne, VIC, Australia#TAB#","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5029523168"],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":1.0576,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.75262379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2009","issue":"1","first_page":null,"last_page":null},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9857000112533569,"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/T10320","display_name":"Neural Networks and Applications","score":0.9746999740600586,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/independent-component-analysis","display_name":"Independent component analysis","score":0.9462693929672241},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6608823537826538},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.5916398167610168},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.5725358128547668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5393407940864563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4764412045478821},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4724198579788208},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.4546717405319214},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4081304669380188},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3958466947078705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35496413707733154},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19281527400016785},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0843435525894165},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.07951775193214417}],"concepts":[{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.9462693929672241},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6608823537826538},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.5916398167610168},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.5725358128547668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5393407940864563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4764412045478821},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4724198579788208},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.4546717405319214},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4081304669380188},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3958466947078705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35496413707733154},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19281527400016785},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0843435525894165},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.07951775193214417},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2009/694850","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2009/694850","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2009/694850","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:alma.61RMIT_INST:11248336870001341","is_oa":false,"landing_page_url":"http://doi.org/10.1155/2009/694850","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:4fc3b1bcd6294a739fcf4e0980082a23","is_oa":false,"landing_page_url":"https://doaj.org/article/4fc3b1bcd6294a739fcf4e0980082a23","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2009 (2009)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2009/694850","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2009/694850","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2009/694850","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2055269080.pdf","grobid_xml":"https://content.openalex.org/works/W2055269080.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W92728042","https://openalex.org/W1487444668","https://openalex.org/W1489793438","https://openalex.org/W1514159701","https://openalex.org/W1548802052","https://openalex.org/W2038237443","https://openalex.org/W2099741732","https://openalex.org/W2108384452","https://openalex.org/W2108936969","https://openalex.org/W2140499889","https://openalex.org/W2141224535","https://openalex.org/W2143132653","https://openalex.org/W2157765880","https://openalex.org/W2160704933","https://openalex.org/W2161299088","https://openalex.org/W2166159048","https://openalex.org/W2225937484"],"related_works":["https://openalex.org/W4239290392","https://openalex.org/W2116983197","https://openalex.org/W2225616538","https://openalex.org/W2309034094","https://openalex.org/W2012884930","https://openalex.org/W2925297989","https://openalex.org/W2378207932","https://openalex.org/W2315318718","https://openalex.org/W3130889391","https://openalex.org/W2152409426"],"abstract_inverted_index":{"Separation":[0],"of":[1,12,15,23,30,40,61,63,76,79,96,109,116,119,127,144,150],"independent":[2,5,16,64,80,97,120],"sources":[3,31,65,81,98],"using":[4],"component":[6],"analysis":[7],"(ICA)":[8],"requires":[9],"prior":[10],"knowledge":[11],"the":[13,21,28,38,42,77,94,110,117],"number":[14,22,29,62,78,95,118],"sources.":[17],"Performing":[18],"ICA":[19,137],"when":[20],"recordings":[24,45,58,142,146],"is":[25,72,113],"greater":[26],"than":[27],"can":[32],"give":[33],"erroneous":[34],"results.":[35],"To":[36],"improve":[37],"quality":[39,149],"separation,":[41],"most":[43],"suitable":[44,57],"have":[46],"to":[47,55,92],"be":[48],"identified":[49],"before":[50],"performing":[51,136],"ICA.":[52],"Techniques":[53],"employed":[54],"estimate":[56],"require":[59,67],"estimation":[60],"or":[66],"repeated":[68],"iterations.":[69],"However":[70],"there":[71],"no":[73],"objective":[74],"measure":[75,115],"in":[82,99,124],"a":[83,87,100,114,125],"given":[84,101],"mixture.":[85,102],"Here,":[86],"technique":[88],"has":[89,131],"been":[90,133],"developed":[91],"determine":[93],"This":[103],"paper":[104],"demonstrates":[105],"that":[106,135],"normalised":[107],"determinant":[108],"global":[111],"matrix":[112],"sources,":[121],"N":[122,139],",":[123],"mixture":[126],"M":[128,145],"recordings.":[129],"It":[130],"also":[132],"shown":[134],"on":[138],"randomly":[140],"selected":[141],"out":[143],"gives":[147],"good":[148],"separation.":[151]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}