{"id":"https://openalex.org/W2105599162","doi":"https://doi.org/10.1109/lsp.2010.2055854","title":"Blind Source Separation by Fully Nonnegative Constrained Iterative Volume Maximization","display_name":"Blind Source Separation by Fully Nonnegative Constrained Iterative Volume Maximization","publication_year":2010,"publication_date":"2010-07-08","ids":{"openalex":"https://openalex.org/W2105599162","doi":"https://doi.org/10.1109/lsp.2010.2055854","mag":"2105599162"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2010.2055854","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dro.deakin.edu.au/articles/journal_contribution/Blind_source_separation_by_fully_nonnegative_constrained_iterative_volume_maximization/20951029/1/files/37235719.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101167187","display_name":"Zuyuan Yang","orcid":null},"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":"None Zuyuan Yang","raw_affiliation_strings":["School of Electronic & Information Engineering, South China University of Technology, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic & Information Engineering, South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009582696","display_name":"Shuxue Ding","orcid":"https://orcid.org/0000-0002-4963-3883"},"institutions":[{"id":"https://openalex.org/I2800939219","display_name":"RIKEN Center for Brain Science","ror":"https://ror.org/04j1n1c04","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800939219","https://openalex.org/I4210110652"]},{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"None Shuxue Ding","raw_affiliation_strings":["Brain Science Institute, RIKEN, Saitama, Japan","School of Computer Science and Engineering, University of Aizu, Fukushima, Japan"],"affiliations":[{"raw_affiliation_string":"Brain Science Institute, RIKEN, Saitama, Japan","institution_ids":["https://openalex.org/I2800939219"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Aizu, Fukushima, Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100883224","display_name":"Xie Sheng-li","orcid":null},"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":"None Shengli Xie","raw_affiliation_strings":["School of Electronic & Information Engineering, South China University of Technology, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic & Information Engineering, South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.011,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":3,"citation_normalized_percentile":{"value":0.586987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":75,"max":77},"biblio":{"volume":"17","issue":"9","first_page":"799","last_page":"802"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation and Independent Component Analysis","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 and Independent Component Analysis","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/T10688","display_name":"Image Denoising Techniques and Algorithms","score":0.9938,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech Enhancement Techniques","score":0.9895,"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/maximization","display_name":"Maximization","score":0.6241349},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source Separation","score":0.602077},{"id":"https://openalex.org/keywords/blind-separation","display_name":"Blind Separation","score":0.569109},{"id":"https://openalex.org/keywords/audio-visual-speech-recognition","display_name":"Audio-Visual Speech Recognition","score":0.511005},{"id":"https://openalex.org/keywords/non-stationary-sources","display_name":"Non-stationary Sources","score":0.508565},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent Component Analysis","score":0.504905},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.45757672}],"concepts":[{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.7455071},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.63379216},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6241349},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5865314},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.5815447},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5684965},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.53163326},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.5246589},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.5048428},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.49697283},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.45757672},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36744648},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.26470697},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07049683},{"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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2010.2055854","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://hdl.handle.net/10536/DRO/DU:30059305","pdf_url":"https://dro.deakin.edu.au/articles/journal_contribution/Blind_source_separation_by_fully_nonnegative_constrained_iterative_volume_maximization/20951029/1/files/37235719.pdf","source":{"id":"https://openalex.org/S4306402457","display_name":"Deakin Research Online (Deakin University)","issn_l":null,"issn":null,"is_oa":true,"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":["Deakin University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://hdl.handle.net/10536/DRO/DU:30059305","pdf_url":"https://dro.deakin.edu.au/articles/journal_contribution/Blind_source_separation_by_fully_nonnegative_constrained_iterative_volume_maximization/20951029/1/files/37235719.pdf","source":{"id":"https://openalex.org/S4306402457","display_name":"Deakin Research Online (Deakin University)","issn_l":null,"issn":null,"is_oa":true,"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":["Deakin University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":25,"referenced_works":["https://openalex.org/W1514159701","https://openalex.org/W1902027874","https://openalex.org/W2041930136","https://openalex.org/W2048687561","https://openalex.org/W2054295885","https://openalex.org/W2086867325","https://openalex.org/W2100310139","https://openalex.org/W2116914769","https://openalex.org/W2124101779","https://openalex.org/W2130855892","https://openalex.org/W2131697388","https://openalex.org/W2135029798","https://openalex.org/W2140318696","https://openalex.org/W2141224535","https://openalex.org/W2143742113","https://openalex.org/W2147614211","https://openalex.org/W2149224850","https://openalex.org/W2162542174","https://openalex.org/W2163202748","https://openalex.org/W2610857016","https://openalex.org/W271314235","https://openalex.org/W3104658819","https://openalex.org/W391578156","https://openalex.org/W4247969042","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2889447638","https://openalex.org/W2539388437","https://openalex.org/W2137288760","https://openalex.org/W2118307209","https://openalex.org/W2113403277","https://openalex.org/W2107364365","https://openalex.org/W2031820693","https://openalex.org/W1910172735","https://openalex.org/W1785857632","https://openalex.org/W1509813908"],"abstract_inverted_index":{"Blind":[0],"source":[1],"separation":[2],"(BSS)":[3],"has":[4],"been":[5],"widely":[6],"discussed":[7],"in":[8],"many":[9],"real":[10],"applications.":[11],"Recently,":[12],"under":[13],"the":[14,19,22,38,46,49,86,109,112],"assumption":[15],"that":[16,40],"both":[17],"of":[18,48,111],"sources":[20,50],"and":[21,102],"mixing":[23,57],"matrix":[24,58],"are":[25,105],"nonnegative,":[26],"Wang":[27],"develop":[28],"an":[29],"amazing":[30],"BSS":[31],"method":[32,68],"by":[33,63],"using":[34],"volume":[35,74],"maximization.":[36],"However,":[37],"algorithm":[39,87],"they":[41],"have":[42],"proposed":[43,113],"can":[44],"guarantee":[45],"nonnegativities":[47],"only,":[51],"but":[52],"cannot":[53],"obtain":[54],"a":[55,67,92],"nonnegative":[56,71],"necessarily.":[59],"In":[60],"this":[61],"letter,":[62],"introducing":[64],"additional":[65],"constraints,":[66],"for":[69],"fully":[70],"constrained":[72],"iterative":[73],"maximization":[75],"(FNCIVM)":[76],"is":[77,81,88],"proposed.":[78],"The":[79],"result":[80],"with":[82,99],"more":[83],"interpretation,":[84],"while":[85],"based":[89],"on":[90],"solving":[91],"single":[93],"linear":[94],"programming":[95],"problem.":[96],"Numerical":[97],"experiments":[98],"synthetic":[100],"signals":[101],"real-world":[103],"images":[104],"performed,":[106],"which":[107],"show":[108],"effectiveness":[110],"method.":[114]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2105599162","counts_by_year":[{"year":2012,"cited_by_count":2}],"updated_date":"2024-12-04T13:29:14.941704","created_date":"2016-06-24"}