{"id":"https://openalex.org/W2049506719","doi":"https://doi.org/10.1109/icassp.2013.6637793","title":"MV-PURE estimator of dipole source signals in EEG","display_name":"MV-PURE estimator of dipole source signals in EEG","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2049506719","doi":"https://doi.org/10.1109/icassp.2013.6637793","mag":"2049506719"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6637793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6637793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5047411328","display_name":"Tomasz Piotrowski","orcid":"https://orcid.org/0000-0002-1998-4658"},"institutions":[{"id":"https://openalex.org/I3019271933","display_name":"Nicolaus Copernicus University","ror":"https://ror.org/0102mm775","country_code":"PL","type":"education","lineage":["https://openalex.org/I3019271933"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"T. Piotrowski","raw_affiliation_strings":["Department of Informatics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Torun, Torun, Poland","Dept. of Inf., Nicolaus Copernicus Univ., Torun, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Torun, Torun, Poland","institution_ids":["https://openalex.org/I3019271933"]},{"raw_affiliation_string":"Dept. of Inf., Nicolaus Copernicus Univ., Torun, Poland","institution_ids":["https://openalex.org/I3019271933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111617801","display_name":"C. C. Zaragoza-Martinez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. C. Zaragoza-Martinez","raw_affiliation_strings":["Monterreys Unit, Center for Research and Advanced Studies, Apodaca, Nuevo Leon, Mexico","Monterrey's Unit, Center for Res. & Adv. Studies, Apodaca, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monterreys Unit, Center for Research and Advanced Studies, Apodaca, Nuevo Leon, Mexico","institution_ids":[]},{"raw_affiliation_string":"Monterrey's Unit, Center for Res. & Adv. Studies, Apodaca, Mexico","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080283610","display_name":"David Guti\u00e9rrez","orcid":"https://orcid.org/0000-0003-0424-3053"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Gutierrez","raw_affiliation_strings":["Monterreys Unit, Center for Research and Advanced Studies, Apodaca, Nuevo Leon, Mexico","Monterrey's Unit, Center for Res. & Adv. Studies, Apodaca, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monterreys Unit, Center for Research and Advanced Studies, Apodaca, Nuevo Leon, Mexico","institution_ids":[]},{"raw_affiliation_string":"Monterrey's Unit, Center for Res. & Adv. Studies, Apodaca, Mexico","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103022814","display_name":"Isao Yamada","orcid":"https://orcid.org/0000-0002-6563-7526"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"I. Yamada","raw_affiliation_strings":["Department of Communications and Computer Engineering, Tokyo Institute of Technology, Tokyo, Japan","Dept. of Commun. & Comput. Eng., Tokyo Inst. of Technol., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communications and Computer Engineering, Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Dept. of Commun. & Comput. Eng., Tokyo Inst. of Technol., Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8785,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87610748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"968","last_page":"972"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10860","display_name":"Speech and Audio Processing","score":0.9987999796867371,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.8309160470962524},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.8208280801773071},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6046465039253235},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5167612433433533},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.4820438325405121},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4331710934638977},{"id":"https://openalex.org/keywords/array-processing","display_name":"Array processing","score":0.4164063334465027},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.368563711643219},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.343256413936615},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3415810167789459},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11287078261375427}],"concepts":[{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.8309160470962524},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8208280801773071},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6046465039253235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5167612433433533},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.4820438325405121},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4331710934638977},{"id":"https://openalex.org/C2778545087","wikidata":"https://www.wikidata.org/wiki/Q4795883","display_name":"Array processing","level":4,"score":0.4164063334465027},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.368563711643219},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.343256413936615},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3415810167789459},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11287078261375427},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6637793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6637793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W20445756","https://openalex.org/W391578156","https://openalex.org/W1534416612","https://openalex.org/W1995497399","https://openalex.org/W2004487362","https://openalex.org/W2009511046","https://openalex.org/W2009572323","https://openalex.org/W2044782769","https://openalex.org/W2091765444","https://openalex.org/W2102068052","https://openalex.org/W2106072070","https://openalex.org/W2113431893","https://openalex.org/W2120078534","https://openalex.org/W2127786259","https://openalex.org/W2132555278","https://openalex.org/W2160772450","https://openalex.org/W2405679201","https://openalex.org/W3194151683","https://openalex.org/W4244894666","https://openalex.org/W6652830530","https://openalex.org/W6661603159","https://openalex.org/W6800050843"],"related_works":["https://openalex.org/W2033329112","https://openalex.org/W2803318287","https://openalex.org/W2383442375","https://openalex.org/W4379654103","https://openalex.org/W1506275581","https://openalex.org/W4239554624","https://openalex.org/W2386148311","https://openalex.org/W4299639588","https://openalex.org/W336214589","https://openalex.org/W3206310269"],"abstract_inverted_index":{"We":[0,18,46],"consider":[1],"the":[2,22,25,36,49,75,94,105],"problem":[3],"of":[4,21,54,107],"dipole":[5,109],"source":[6,110],"signals":[7],"estimation":[8,65,96],"in":[9,15,31,42,87],"electroencephalography":[10],"(EEG)":[11],"using":[12],"beamforming":[13],"techniques":[14],"ill-conditioned":[16,88,99],"settings.":[17,89],"take":[19],"advantage":[20],"link":[23],"between":[24],"linearly":[26],"constrained":[27],"minimum-variance":[28,57],"(LCMV)":[29],"beamformer":[30],"sensor":[32],"array":[33],"processing":[34],"and":[35,82],"best":[37],"linear":[38,43],"unbiased":[39],"estimator":[40,60,111],"(BLUE)":[41],"regression":[44],"modeling.":[45],"show":[47,104],"that":[48],"recently":[50],"introduced":[51],"reduced-rank":[52,59,78],"extension":[53],"BLUE,":[55],"named":[56],"pseudo-unbiased":[58],"(MV-PURE),":[61],"achieves":[62],"much":[63],"lower":[64],"error":[66],"not":[67],"only":[68],"than":[69,74],"LCMV":[70],"beamformer,":[71],"but":[72],"also":[73],"previously":[76],"derived":[77],"principal":[79],"components":[80],"(PC)":[81],"cross-spectral":[83],"metrics":[84],"(CSM)":[85],"beamformers":[86],"The":[90],"practical":[91],"scenarios":[92],"where":[93],"considered":[95],"model":[97],"becomes":[98],"are":[100],"discussed,":[101],"then":[102],"we":[103],"applicability":[106],"MV-PURE":[108],"under":[112],"those":[113],"conditions":[114],"through":[115],"realistic":[116],"simulations.":[117]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}