{"id":"https://openalex.org/W2155413294","doi":"https://doi.org/10.1109/tsp.2002.1011197","title":"Estimating stationary dipoles from MEG/EEG data contaminated with spatially and temporally correlated background noise","display_name":"Estimating stationary dipoles from MEG/EEG data contaminated with spatially and temporally correlated background noise","publication_year":2002,"publication_date":"2002-07-01","ids":{"openalex":"https://openalex.org/W2155413294","doi":"https://doi.org/10.1109/tsp.2002.1011197","mag":"2155413294"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2002.1011197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2002.1011197","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/A5001096620","display_name":"Jan C. de Munck","orcid":"https://orcid.org/0000-0002-5206-0086"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"J.C. de Munck","raw_affiliation_strings":["MEG Center/University Hospital Vrije Universiteit, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"MEG Center/University Hospital Vrije Universiteit, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063898620","display_name":"Hilde M. Huizenga","orcid":"https://orcid.org/0000-0002-5213-7100"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"H.M. Huizenga","raw_affiliation_strings":["Department of Psychology, University of Amsterdam, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Psychology, University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064926593","display_name":"Lourens Waldorp","orcid":"https://orcid.org/0000-0002-5941-4625"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"L.J. Waldorp","raw_affiliation_strings":["Department of Psychology, University of Amsterdam, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Psychology, University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066220417","display_name":"R.A. Heethaar","orcid":null},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"R.A. Heethaar","raw_affiliation_strings":["Laboratory of Clinical Physics and Informatics Institute of Cardiovascular Research IcaR-VU, University Hospital Vrije Universiteit, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"Laboratory of Clinical Physics and Informatics Institute of Cardiovascular Research IcaR-VU, University Hospital Vrije Universiteit, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I865915315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001096620"],"corresponding_institution_ids":["https://openalex.org/I865915315"],"apc_list":null,"apc_paid":null,"fwci":11.2187,"has_fulltext":false,"cited_by_count":99,"citation_normalized_percentile":{"value":0.99348231,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"50","issue":"7","first_page":"1565","last_page":"1572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9955000281333923,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9926000237464905,"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/magnetoencephalography","display_name":"Magnetoencephalography","score":0.7268942594528198},{"id":"https://openalex.org/keywords/kronecker-product","display_name":"Kronecker product","score":0.6210173964500427},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5847047567367554},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.583159327507019},{"id":"https://openalex.org/keywords/covariance-function","display_name":"Covariance function","score":0.5370022654533386},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5271795988082886},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5152678489685059},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44731882214546204},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4114639461040497},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40388116240501404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38477060198783875},{"id":"https://openalex.org/keywords/kronecker-delta","display_name":"Kronecker delta","score":0.3808552026748657},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3397423028945923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26247191429138184},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2524905800819397},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09896329045295715}],"concepts":[{"id":"https://openalex.org/C556910895","wikidata":"https://www.wikidata.org/wiki/Q384188","display_name":"Magnetoencephalography","level":3,"score":0.7268942594528198},{"id":"https://openalex.org/C46030957","wikidata":"https://www.wikidata.org/wiki/Q1238125","display_name":"Kronecker product","level":3,"score":0.6210173964500427},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5847047567367554},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.583159327507019},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.5370022654533386},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5271795988082886},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5152678489685059},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44731882214546204},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4114639461040497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40388116240501404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38477060198783875},{"id":"https://openalex.org/C39482219","wikidata":"https://www.wikidata.org/wiki/Q192826","display_name":"Kronecker delta","level":2,"score":0.3808552026748657},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3397423028945923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26247191429138184},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2524905800819397},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09896329045295715},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2002.1011197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2002.1011197","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":22,"referenced_works":["https://openalex.org/W182699364","https://openalex.org/W1966649650","https://openalex.org/W1983808316","https://openalex.org/W1985825653","https://openalex.org/W1986713983","https://openalex.org/W1987333243","https://openalex.org/W1995497399","https://openalex.org/W1997130844","https://openalex.org/W2017408522","https://openalex.org/W2018722298","https://openalex.org/W2059147492","https://openalex.org/W2063035900","https://openalex.org/W2074137442","https://openalex.org/W2102579121","https://openalex.org/W2116313168","https://openalex.org/W2116968536","https://openalex.org/W2119285817","https://openalex.org/W2138374881","https://openalex.org/W2319885746","https://openalex.org/W2797638056","https://openalex.org/W4230115272","https://openalex.org/W4302078450"],"related_works":["https://openalex.org/W123417539","https://openalex.org/W4233239985","https://openalex.org/W2079407403","https://openalex.org/W2060299328","https://openalex.org/W4375957393","https://openalex.org/W2117336295","https://openalex.org/W2073634779","https://openalex.org/W3102722572","https://openalex.org/W2090103374","https://openalex.org/W1564288589"],"abstract_inverted_index":{"The":[0,45,109],"stationary":[1],"dipole":[2,78,100],"model":[3],"for":[4],"the":[5,22,28,69,72,77,82,85,92,96,99,104,116],"inverse":[6],"problem":[7],"of":[8,21,37,59,61,71,84,95,111],"magnetoencephalographic":[9],"(MEG)":[10],"and":[11,40],"electroencephalographic":[12],"(EEG)":[13],"data":[14],"is":[15,49],"extended":[16],"by":[17],"including":[18],"spatio-temporal":[19,29],"correlations":[20,106,113],"background":[23,73],"noise.":[24],"For":[25],"that":[26,68],"purpose,":[27],"covariances":[30],"are":[31,107],"described":[32],"as":[33],"a":[34,38,41,57],"Kronkecker":[35],"product":[36,55],"spatial":[39,112],"temporal":[42,105],"covariance":[43,97],"matrix.":[44],"maximum":[46],"likelihood":[47],"method":[48],"used":[50],"to":[51],"estimate":[52,79,101],"this":[53],"Kronecker":[54],"from":[56],"series":[58],"trials":[60],"MEG/EEG":[62],"data.":[63],"A":[64],"simulation":[65],"study":[66],"shows":[67],"inclusion":[70,110],"noise":[74],"generally":[75],"improves":[76,115],"substantially.":[80],"When":[81],"frequency":[83,93],"source":[86],"time":[87],"functions,":[88],"however,":[89],"coincides":[90],"with":[91],"contents":[94],"function,":[98],"worsens":[102],"when":[103],"included.":[108],"always":[114],"estimates.":[117]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}