{"id":"https://openalex.org/W2765844457","doi":"https://doi.org/10.23919/eusipco.2017.8081389","title":"Orthogonally constrained independent component extraction: Blind MPDR beamforming","display_name":"Orthogonally constrained independent component extraction: Blind MPDR beamforming","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2765844457","doi":"https://doi.org/10.23919/eusipco.2017.8081389","mag":"2765844457"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2017.8081389","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://library.utia.cas.cz/separaty/2017/SI/tichavsky-0478273.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040855107","display_name":"Zbyn\u011bk Koldovsk\u00fd","orcid":"https://orcid.org/0000-0002-1791-5675"},"institutions":[{"id":"https://openalex.org/I147009085","display_name":"Technical University of Liberec","ror":"https://ror.org/02jtk7k02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I147009085"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Zbynek Koldovsky","raw_affiliation_strings":["Faculty of Mechatronics, Informatics, and Interdisciplinary Studies, Technical University of Liberec, Liberec, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Faculty of Mechatronics, Informatics, and Interdisciplinary Studies, Technical University of Liberec, Liberec, Czech Republic","institution_ids":["https://openalex.org/I147009085"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076229848","display_name":"Petr Tichavsk\u00fd","orcid":"https://orcid.org/0000-0003-0621-4766"},"institutions":[{"id":"https://openalex.org/I4210119419","display_name":"Czech Academy of Sciences, Institute of Information Theory and Automation","ror":"https://ror.org/03h1hsz49","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210119419"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Petr Tichavsky","raw_affiliation_strings":["Institute of Information Theory and Automation, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Institute of Information Theory and Automation, Czech Republic","institution_ids":["https://openalex.org/I4210119419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066677388","display_name":"V\u00e1clav Kautsk\u00fd","orcid":"https://orcid.org/0000-0002-7042-0858"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Vaclav Kautsky","raw_affiliation_strings":["Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University, Prague"],"affiliations":[{"raw_affiliation_string":"Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University, Prague","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040855107"],"corresponding_institution_ids":["https://openalex.org/I147009085"],"apc_list":null,"apc_paid":null,"fwci":2.6104,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.91168654,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1155","last_page":"1159"},"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":0.9884999990463257,"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":0.9169999957084656,"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":0.7670308351516724},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.7656421661376953},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.6909092664718628},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6236869096755981},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5699487328529358},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5597445964813232},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.544522762298584},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.5356525778770447},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5338113903999329},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.44747257232666016},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.360162615776062},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.320533812046051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.206821471452713},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09174451231956482},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06981682777404785}],"concepts":[{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.7670308351516724},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.7656421661376953},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.6909092664718628},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6236869096755981},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5699487328529358},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5597445964813232},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.544522762298584},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.5356525778770447},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5338113903999329},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.44747257232666016},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.360162615776062},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.320533812046051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.206821471452713},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09174451231956482},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06981682777404785},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/eusipco.2017.8081389","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:asep.lib.cas.cz:CavUnEpca/0478273","is_oa":true,"landing_page_url":"http://hdl.handle.net/11104/0274425","pdf_url":"http://library.utia.cas.cz/separaty/2017/SI/tichavsky-0478273.pdf","source":{"id":"https://openalex.org/S7407055266","display_name":"ASEP","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:asep.lib.cas.cz:CavUnEpca/0478273","is_oa":true,"landing_page_url":"http://hdl.handle.net/11104/0274425","pdf_url":"http://library.utia.cas.cz/separaty/2017/SI/tichavsky-0478273.pdf","source":{"id":"https://openalex.org/S7407055266","display_name":"ASEP","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2765844457.pdf","grobid_xml":"https://content.openalex.org/works/W2765844457.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W285277413","https://openalex.org/W653761051","https://openalex.org/W1539811621","https://openalex.org/W1548802052","https://openalex.org/W1755563775","https://openalex.org/W1977067929","https://openalex.org/W1991840148","https://openalex.org/W2096855653","https://openalex.org/W2108384452","https://openalex.org/W2113089847","https://openalex.org/W2119647652","https://openalex.org/W2131436045","https://openalex.org/W2133069808","https://openalex.org/W2135503775","https://openalex.org/W2147665979","https://openalex.org/W2149709356","https://openalex.org/W2170136188","https://openalex.org/W2170768669","https://openalex.org/W2588918716","https://openalex.org/W2952350176","https://openalex.org/W4205778870","https://openalex.org/W6679756777"],"related_works":["https://openalex.org/W2390344110","https://openalex.org/W2364896863","https://openalex.org/W2361066326","https://openalex.org/W2046761971","https://openalex.org/W2182042810","https://openalex.org/W2130656060","https://openalex.org/W2156932837","https://openalex.org/W2380698615","https://openalex.org/W374502268","https://openalex.org/W2103029460"],"abstract_inverted_index":{"We":[0,87],"propose":[1,88],"a":[2,65,96,128],"novel":[3],"technique":[4],"for":[5,74,114],"the":[6,28,41,48,55,69,81,109,124],"extraction":[7],"of":[8,18,27,30,40,47],"one":[9,38,45],"independent":[10],"component":[11],"from":[12],"an":[13,89],"instantaneous":[14],"linear":[15],"complex-valued":[16],"mixture":[17],"signals.":[19],"The":[20,58,104],"mixing":[21,42],"model":[22],"is":[23,61,106,135],"optimized":[24],"in":[25,79,132],"terms":[26],"number":[29],"parameters":[31],"that":[32,91],"are":[33,72,121],"necessary":[34],"to":[35,54,63],"simultaneously":[36],"estimate":[37],"column":[39],"matrix":[43],"and":[44],"row":[46],"de-mixing":[49],"matrix,":[50],"which":[51],"both":[52],"correspond":[53],"desired":[56,59],"source.":[57],"source":[60],"assumed":[62],"have":[64],"non-Gaussian":[66],"distribution,":[67],"while":[68],"other":[70,82],"sources":[71,83],"modeled,":[73],"simplicity,":[75],"as":[76,95],"Gaussian-distributed,":[77],"although":[78],"applications":[80],"can":[84,92],"be":[85,93],"arbitrary.":[86],"algorithm":[90,113],"interpreted":[94],"blind":[97],"self-steering":[98],"Minimum-Power":[99],"Distortionless":[100],"Response":[101],"(MPDR)":[102],"beamformer.":[103],"method":[105,126],"compared":[107],"with":[108],"popular":[110],"Natural":[111],"Gradient":[112],"general":[115],"Independent":[116],"Component":[117],"Analysis.":[118],"Their":[119],"performances":[120],"comparable":[122],"but":[123],"proposed":[125],"has":[127],"lower":[129],"computational":[130],"complexity;":[131],"examples,":[133],"it":[134],"about":[136],"four":[137],"times":[138],"faster.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}