{"id":"https://openalex.org/W2986819504","doi":"https://doi.org/10.23919/eusipco.2019.8903064","title":"Source Enumeration in Non-White Noise and Small Sample Size via Subspace Averaging","display_name":"Source Enumeration in Non-White Noise and Small Sample Size via Subspace Averaging","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2986819504","doi":"https://doi.org/10.23919/eusipco.2019.8903064","mag":"2986819504"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2019.8903064","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8903064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th 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://hdl.handle.net/10902/18037","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079836321","display_name":"Vaibhav Garg","orcid":"https://orcid.org/0000-0002-6639-3324"},"institutions":[{"id":"https://openalex.org/I13134134","display_name":"Universidad de Cantabria","ror":"https://ror.org/046ffzj20","country_code":"ES","type":"education","lineage":["https://openalex.org/I13134134"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Vaibhav Garg","raw_affiliation_strings":["Dept. of Communications Engineering, Universidad de Cantabria, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Communications Engineering, Universidad de Cantabria, Spain","institution_ids":["https://openalex.org/I13134134"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059078809","display_name":"Ignacio Santamar\u0131\u0301a","orcid":"https://orcid.org/0000-0003-0040-7436"},"institutions":[{"id":"https://openalex.org/I13134134","display_name":"Universidad de Cantabria","ror":"https://ror.org/046ffzj20","country_code":"ES","type":"education","lineage":["https://openalex.org/I13134134"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ignacio Santamaria","raw_affiliation_strings":["Dept. of Communications Engineering, Universidad de Cantabria, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Communications Engineering, Universidad de Cantabria, Spain","institution_ids":["https://openalex.org/I13134134"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5784,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76568781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9944000244140625,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9944000244140625,"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/T10860","display_name":"Speech and Audio Processing","score":0.9919999837875366,"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":0.9919000267982483,"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/enumeration","display_name":"Enumeration","score":0.8689743280410767},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.7397032976150513},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6893887519836426},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.5584572553634644},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5222597718238831},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4710027277469635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4430214762687683},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.423210084438324},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.37452951073646545},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.23187455534934998},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18842196464538574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17428627610206604}],"concepts":[{"id":"https://openalex.org/C156340839","wikidata":"https://www.wikidata.org/wiki/Q2704791","display_name":"Enumeration","level":2,"score":0.8689743280410767},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.7397032976150513},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6893887519836426},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.5584572553634644},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5222597718238831},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4710027277469635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4430214762687683},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.423210084438324},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37452951073646545},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.23187455534934998},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18842196464538574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17428627610206604},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/eusipco.2019.8903064","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8903064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:repositorio.unican.es:10902/18037","is_oa":true,"landing_page_url":"http://hdl.handle.net/10902/18037","pdf_url":null,"source":{"id":"https://openalex.org/S4306400398","display_name":"UCrea (University of Cantabria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13134134","host_organization_name":"Universidad de Cantabria","host_organization_lineage":["https://openalex.org/I13134134"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"27th European Signal Processing Conference (EUSIPCO), A Coru\u00f1a, 2019, 1-5.","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:repositorio.unican.es:10902/18037","is_oa":true,"landing_page_url":"http://hdl.handle.net/10902/18037","pdf_url":null,"source":{"id":"https://openalex.org/S4306400398","display_name":"UCrea (University of Cantabria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13134134","host_organization_name":"Universidad de Cantabria","host_organization_lineage":["https://openalex.org/I13134134"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"27th European Signal Processing Conference (EUSIPCO), A Coru\u00f1a, 2019, 1-5.","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W653761051","https://openalex.org/W1578953027","https://openalex.org/W2008079409","https://openalex.org/W2009506162","https://openalex.org/W2012270713","https://openalex.org/W2054119616","https://openalex.org/W2054658115","https://openalex.org/W2062038453","https://openalex.org/W2066306397","https://openalex.org/W2094502128","https://openalex.org/W2096710051","https://openalex.org/W2102678064","https://openalex.org/W2109069892","https://openalex.org/W2127421076","https://openalex.org/W2128131274","https://openalex.org/W2137945018","https://openalex.org/W2140262081","https://openalex.org/W2142635246","https://openalex.org/W2155421090","https://openalex.org/W2157169796","https://openalex.org/W2158541895","https://openalex.org/W2163852636","https://openalex.org/W2169143508","https://openalex.org/W2340413290","https://openalex.org/W2509499822","https://openalex.org/W2729451695","https://openalex.org/W2889127575","https://openalex.org/W2943162956","https://openalex.org/W2963174524","https://openalex.org/W4253242484","https://openalex.org/W4289257328","https://openalex.org/W6684882375","https://openalex.org/W6754270821"],"related_works":["https://openalex.org/W4388813866","https://openalex.org/W2999104021","https://openalex.org/W1481656249","https://openalex.org/W2850804095","https://openalex.org/W2162280767","https://openalex.org/W3047225376","https://openalex.org/W1570799877","https://openalex.org/W2800688113","https://openalex.org/W4236933217","https://openalex.org/W2057598446"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,14,49,73,85],"problem":[4],"of":[5,11,51,65,72,103],"source":[6],"enumeration":[7],"by":[8,90],"an":[9],"array":[10],"sensors":[12],"in":[13,106],"challenging":[15,108],"conditions":[16],"of:":[17],"i)":[18],"large":[19],"uniform":[20],"arrays":[21],"with":[22,32,58],"few":[23],"snapshots,":[24],"and":[25,53,76],"ii)":[26],"non-white":[27],"or":[28],"spatially":[29],"correlated":[30],"noises":[31],"arbitrary":[33],"correlation.":[34],"To":[35],"solve":[36],"this":[37,94],"problem,":[38],"we":[39],"combine":[40],"a":[41,59,78,99],"subspace":[42],"averaging":[43],"(SA)":[44],"technique,":[45],"recently":[46],"proposed":[47],"for":[48,69],"case":[50],"independent":[52],"identically":[54],"distributed":[55],"(i.i.d.)":[56],"noises,":[57],"majority":[60,79],"vote":[61,80],"approach.":[62],"The":[63],"number":[64],"sources":[66,105],"is":[67,81],"detected":[68],"increasing":[70],"dimensions":[71],"SA":[74,98],"technique":[75],"then":[77],"applied":[82],"to":[83],"determine":[84],"final":[86],"estimate.":[87],"As":[88],"illustrated":[89],"some":[91],"simulation":[92],"examples,":[93],"simple":[95],"modification":[96],"makes":[97],"very":[100],"robust":[101],"method":[102],"enumerating":[104],"these":[107],"scenarios.":[109]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
