{"id":"https://openalex.org/W3161847781","doi":"https://doi.org/10.1109/icassp39728.2021.9415059","title":"ICA with Orthogonality Constraint: Identifiability And A New Efficient Algorithm","display_name":"ICA with Orthogonality Constraint: Identifiability And A New Efficient Algorithm","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3161847781","doi":"https://doi.org/10.1109/icassp39728.2021.9415059","mag":"3161847781"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9415059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9415059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.13016/m2imze-edmd","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040741515","display_name":"Ben Gabrielson","orcid":"https://orcid.org/0000-0001-9217-6641"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ben Gabrielson","raw_affiliation_strings":["University of Maryland, Baltimore County, Baltimore, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore County, Baltimore, MD","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086200651","display_name":"M. A. B. S. Akhonda","orcid":"https://orcid.org/0000-0003-0826-453X"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. A. B. S. Akhonda","raw_affiliation_strings":["University of Maryland, Baltimore County, Baltimore, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore County, Baltimore, MD","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006915006","display_name":"Zois Boukouvalas","orcid":"https://orcid.org/0000-0002-5131-1891"},"institutions":[{"id":"https://openalex.org/I181401687","display_name":"American University","ror":"https://ror.org/052w4zt36","country_code":"US","type":"education","lineage":["https://openalex.org/I181401687"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zois Boukouvalas","raw_affiliation_strings":["American University, Washington, D.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"American University, Washington, D.C","institution_ids":["https://openalex.org/I181401687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100678297","display_name":"Seung-Jun Kim","orcid":"https://orcid.org/0000-0002-5504-4997"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seung-Jun Kim","raw_affiliation_strings":["University of Maryland, Baltimore County, Baltimore, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore County, Baltimore, MD","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060798483","display_name":"T\u00fclay Adal\u0131","orcid":"https://orcid.org/0000-0003-0594-2796"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tulay Adali","raw_affiliation_strings":["University of Maryland, Baltimore County, Baltimore, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore County, Baltimore, MD","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.542,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59883479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3720","last_page":"3724"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9908000230789185,"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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9825999736785889,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/identifiability","display_name":"Identifiability","score":0.8670583963394165},{"id":"https://openalex.org/keywords/orthogonality","display_name":"Orthogonality","score":0.8591560125350952},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.8491197824478149},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.672169029712677},{"id":"https://openalex.org/keywords/orthogonal-matrix","display_name":"Orthogonal matrix","score":0.5833806991577148},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4941852390766144},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.4892694652080536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4708380699157715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44607028365135193},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4347059726715088},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3724902868270874},{"id":"https://openalex.org/keywords/orthogonal-basis","display_name":"Orthogonal basis","score":0.31405773758888245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20192986726760864}],"concepts":[{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.8670583963394165},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.8591560125350952},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.8491197824478149},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.672169029712677},{"id":"https://openalex.org/C44292817","wikidata":"https://www.wikidata.org/wiki/Q333871","display_name":"Orthogonal matrix","level":3,"score":0.5833806991577148},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4941852390766144},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.4892694652080536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4708380699157715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44607028365135193},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4347059726715088},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3724902868270874},{"id":"https://openalex.org/C187064257","wikidata":"https://www.wikidata.org/wiki/Q3306808","display_name":"Orthogonal basis","level":2,"score":0.31405773758888245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20192986726760864},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp39728.2021.9415059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9415059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:mdsoar.org:11603/21688","is_oa":false,"landing_page_url":"http://hdl.handle.net/11603/21688","pdf_url":null,"source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","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":null,"raw_type":"Text"},{"id":"doi:10.13016/m2imze-edmd","is_oa":true,"landing_page_url":"https://doi.org/10.13016/m2imze-edmd","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.13016/m2imze-edmd","is_oa":true,"landing_page_url":"https://doi.org/10.13016/m2imze-edmd","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1554701157","https://openalex.org/W1562327244","https://openalex.org/W1582893002","https://openalex.org/W1638580935","https://openalex.org/W1755563775","https://openalex.org/W1977067929","https://openalex.org/W1991840148","https://openalex.org/W2053037153","https://openalex.org/W2086953401","https://openalex.org/W2088829452","https://openalex.org/W2119647652","https://openalex.org/W2123649031","https://openalex.org/W2133069808","https://openalex.org/W2135342401","https://openalex.org/W2157765880","https://openalex.org/W4252705546","https://openalex.org/W6632826276","https://openalex.org/W6633786245","https://openalex.org/W6679756777","https://openalex.org/W6683344597"],"related_works":["https://openalex.org/W2103449537","https://openalex.org/W2132548659","https://openalex.org/W4321435887","https://openalex.org/W4232228426","https://openalex.org/W4246218487","https://openalex.org/W2373103659","https://openalex.org/W2365891864","https://openalex.org/W2370666208","https://openalex.org/W2079913584","https://openalex.org/W4226178595"],"abstract_inverted_index":{"Given":[0],"the":[1,15,36,51,64,71,76,94,130,133,137],"prevalence":[2],"of":[3,18,38,50,97,117,132],"independent":[4],"component":[5],"analysis":[6],"(ICA)":[7],"for":[8,13,54,89,107],"signal":[9],"processing,":[10],"many":[11],"methods":[12,26,57],"improving":[14],"convergence":[16],"properties":[17],"ICA":[19,56,78,91],"have":[20],"been":[21,61],"introduced.":[22],"The":[23],"most":[24],"utilized":[25],"operate":[27],"by":[28,110],"iterative":[29],"rotations":[30],"over":[31,136],"pre-whitened":[32],"data,":[33],"whereby":[34],"limiting":[35],"space":[37,116],"estimated":[39],"demixing":[40],"matrices":[41,119],"to":[42],"those":[43],"that":[44],"are":[45],"orthogonal.":[46],"However,":[47],"a":[48,103,112,115],"proof":[49],"identifiability":[52,72],"conditions":[53],"orthogonal":[55,77,90,98,108],"has":[58],"not":[59],"yet":[60],"presented":[62],"in":[63],"literature.":[65],"In":[66],"this":[67],"paper,":[68],"we":[69,101,121,127],"derive":[70,102],"conditions,":[73],"starting":[74],"from":[75],"maximum":[79],"likelihood":[80],"cost":[81],"function.":[82],"We":[83],"then":[84],"review":[85],"efficient":[86,105],"optimization":[87],"approaches":[88],"defined":[92],"on":[93],"Lie":[95,139],"group":[96,140],"matrices.":[99],"Afterwards,":[100],"new":[104,134],"algorithm":[106,135],"ICA,":[109],"defining":[111],"mapping":[113],"onto":[114],"constrained":[118],"which":[120],"define":[122],"as":[123],"hyper":[124],"skew-symmetric.":[125],"Finally,":[126],"experimentally":[128],"demonstrate":[129],"advantages":[131],"pre-existing":[138],"methods.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
