{"id":"https://openalex.org/W2136284422","doi":"https://doi.org/10.1109/tsp.2010.2055859","title":"Independent Component Analysis by Entropy Bound Minimization","display_name":"Independent Component Analysis by Entropy Bound Minimization","publication_year":2010,"publication_date":"2010-07-08","ids":{"openalex":"https://openalex.org/W2136284422","doi":"https://doi.org/10.1109/tsp.2010.2055859","mag":"2136284422"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2010.2055859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2010.2055859","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},"type":"article","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/A5100639669","display_name":"Xi-Lin Li","orcid":null},"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":"Xi-Lin Li","raw_affiliation_strings":["Department of CSEE, University of Maryland Baltimore County, Baltimore, MD, USA","[Department of CSEE, UMBC, Baltimore, MD, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSEE, University of Maryland Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]},{"raw_affiliation_string":"[Department of CSEE, UMBC, Baltimore, MD, USA]","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":"T\u00fclay Adali","raw_affiliation_strings":["Department of CSEE, University of Maryland Baltimore County, Baltimore, MD, USA","[Department of CSEE, UMBC, Baltimore, MD, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSEE, University of Maryland Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]},{"raw_affiliation_string":"[Department of CSEE, UMBC, Baltimore, MD, USA]","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I79272384"],"apc_list":null,"apc_paid":null,"fwci":10.7972,"has_fulltext":false,"cited_by_count":148,"citation_normalized_percentile":{"value":0.98793278,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"58","issue":"10","first_page":"5151","last_page":"5164"},"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":0.9904999732971191,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/differential-entropy","display_name":"Differential entropy","score":0.6879017353057861},{"id":"https://openalex.org/keywords/joint-entropy","display_name":"Joint entropy","score":0.6529648303985596},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6437576413154602},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6336299180984497},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5850814580917358},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.5720871686935425},{"id":"https://openalex.org/keywords/maximum-entropy-probability-distribution","display_name":"Maximum entropy probability distribution","score":0.530820369720459},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5018267631530762},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.49804067611694336},{"id":"https://openalex.org/keywords/maximum-entropy-spectral-estimation","display_name":"Maximum entropy spectral estimation","score":0.4849269688129425},{"id":"https://openalex.org/keywords/entropy-estimation","display_name":"Entropy estimation","score":0.4768437147140503},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.474936306476593},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4735890030860901},{"id":"https://openalex.org/keywords/entropy-rate","display_name":"Entropy rate","score":0.44448211789131165},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.44073086977005005},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42188021540641785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3628869652748108},{"id":"https://openalex.org/keywords/binary-entropy-function","display_name":"Binary entropy function","score":0.35339444875717163},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.344523549079895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30633246898651123},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17990407347679138},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08217787742614746}],"concepts":[{"id":"https://openalex.org/C124551494","wikidata":"https://www.wikidata.org/wiki/Q3055345","display_name":"Differential entropy","level":4,"score":0.6879017353057861},{"id":"https://openalex.org/C106752470","wikidata":"https://www.wikidata.org/wiki/Q1364826","display_name":"Joint entropy","level":3,"score":0.6529648303985596},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6437576413154602},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6336299180984497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5850814580917358},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.5720871686935425},{"id":"https://openalex.org/C60507348","wikidata":"https://www.wikidata.org/wiki/Q6795892","display_name":"Maximum entropy probability distribution","level":3,"score":0.530820369720459},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5018267631530762},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.49804067611694336},{"id":"https://openalex.org/C89735579","wikidata":"https://www.wikidata.org/wiki/Q6795894","display_name":"Maximum entropy spectral estimation","level":3,"score":0.4849269688129425},{"id":"https://openalex.org/C95546049","wikidata":"https://www.wikidata.org/wiki/Q1345207","display_name":"Entropy estimation","level":3,"score":0.4768437147140503},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.474936306476593},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4735890030860901},{"id":"https://openalex.org/C125252325","wikidata":"https://www.wikidata.org/wiki/Q1345213","display_name":"Entropy rate","level":4,"score":0.44448211789131165},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.44073086977005005},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42188021540641785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3628869652748108},{"id":"https://openalex.org/C44415725","wikidata":"https://www.wikidata.org/wiki/Q4913893","display_name":"Binary entropy function","level":3,"score":0.35339444875717163},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.344523549079895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30633246898651123},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17990407347679138},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08217787742614746},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2010.2055859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2010.2055859","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","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":45,"referenced_works":["https://openalex.org/W190532438","https://openalex.org/W1489793438","https://openalex.org/W1514159701","https://openalex.org/W1548802052","https://openalex.org/W1585952515","https://openalex.org/W1587835496","https://openalex.org/W1981276685","https://openalex.org/W2032558547","https://openalex.org/W2042353857","https://openalex.org/W2099741732","https://openalex.org/W2105909330","https://openalex.org/W2106649818","https://openalex.org/W2108384452","https://openalex.org/W2110841704","https://openalex.org/W2111587777","https://openalex.org/W2123649031","https://openalex.org/W2124195644","https://openalex.org/W2124757684","https://openalex.org/W2125087714","https://openalex.org/W2126929146","https://openalex.org/W2127737934","https://openalex.org/W2128967371","https://openalex.org/W2129905273","https://openalex.org/W2132299333","https://openalex.org/W2132796249","https://openalex.org/W2133069808","https://openalex.org/W2141622014","https://openalex.org/W2142638745","https://openalex.org/W2144935618","https://openalex.org/W2145424836","https://openalex.org/W2145456306","https://openalex.org/W2147614211","https://openalex.org/W2149709356","https://openalex.org/W2154053567","https://openalex.org/W2166390491","https://openalex.org/W2169736182","https://openalex.org/W2171285230","https://openalex.org/W2336509789","https://openalex.org/W2795528501","https://openalex.org/W2993845287","https://openalex.org/W4205778870","https://openalex.org/W4233014035","https://openalex.org/W4285719527","https://openalex.org/W6685260304","https://openalex.org/W6703140735"],"related_works":["https://openalex.org/W2955910739","https://openalex.org/W1541425763","https://openalex.org/W26301252","https://openalex.org/W1966654446","https://openalex.org/W2161544911","https://openalex.org/W2889261288","https://openalex.org/W2136284422","https://openalex.org/W2547071745","https://openalex.org/W1986571267","https://openalex.org/W2041435955"],"abstract_inverted_index":{"A":[0],"novel":[1,66],"(differential)":[2],"entropy":[3,10,17,75,81],"estimator":[4,41],"is":[5,12,22],"introduced":[6],"where":[7],"the":[8,16,19,34,74,98,109],"maximum":[9],"bound":[11,82],"used":[13],"to":[14,57,101,117],"approximate":[15],"given":[18],"observations,":[20],"and":[21,50,92,114,130],"computed":[23],"using":[24,128],"a":[25,44,52,65,88,123],"numerical":[26],"procedure":[27],"thus":[28,77],"resulting":[29],"in":[30],"accurate":[31],"estimates":[32],"for":[33,43,104],"entropy.":[35],"We":[36,62,107],"show":[37],"that":[38,72,96,120],"such":[39],"an":[40],"exists":[42],"wide":[45,124],"class":[46],"of":[47,54,112,126],"measuring":[48],"functions,":[49],"provide":[51],"number":[53],"design":[55],"examples":[56],"demonstrate":[58,108],"its":[59,115],"flexible":[60],"nature.":[61],"then":[63],"derive":[64],"independent":[67],"component":[68],"analysis":[69],"(ICA)":[70],"algorithm":[71,86],"uses":[73,94],"estimate":[76],"obtained,":[78],"ICA":[79],"by":[80],"minimization":[83],"(ICA-EBM).":[84],"The":[85],"adopts":[87],"line":[89],"search":[90],"procedure,":[91],"initially":[93],"updates":[95],"constrain":[97],"demixing":[99],"matrix":[100],"be":[102],"orthogonal":[103],"robust":[105],"performance.":[106],"superior":[110],"performance":[111],"ICA-EBM":[113],"ability":[116],"match":[118],"sources":[119],"come":[121],"from":[122],"range":[125],"distributions":[127],"simulated":[129],"real-world":[131],"data.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":16},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":16},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":14}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}