{"id":"https://openalex.org/W4392653764","doi":"https://doi.org/10.1186/s13634-024-01127-1","title":"Greedy selection of sensors with measurements under correlated noise","display_name":"Greedy selection of sensors with measurements under correlated noise","publication_year":2024,"publication_date":"2024-03-11","ids":{"openalex":"https://openalex.org/W4392653764","doi":"https://doi.org/10.1186/s13634-024-01127-1"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-024-01127-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01127-1","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01127-1","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01127-1","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031626637","display_name":"Yoon Hak Kim","orcid":"https://orcid.org/0000-0003-4577-5347"},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yoon Hak Kim","raw_affiliation_strings":["Department of Electronic Engineering, College of IT Convergence Engineering, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju, 61452, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-4577-5347","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, College of IT Convergence Engineering, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju, 61452, Republic of Korea","institution_ids":["https://openalex.org/I152238500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5031626637"],"corresponding_institution_ids":["https://openalex.org/I152238500"],"apc_list":{"value":1790,"currency":"USD","value_usd":1790},"apc_paid":{"value":1790,"currency":"USD","value_usd":1790},"fwci":0.8337,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72159254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2024","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9988999962806702,"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/T11236","display_name":"Control Systems and Identification","score":0.9746000170707703,"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/selection","display_name":"Selection (genetic algorithm)","score":0.7062392830848694},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6940860152244568},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.6775935888290405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6097007393836975},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5903228521347046},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5598908066749573},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5561316609382629},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5343396663665771},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4794853627681732},{"id":"https://openalex.org/keywords/selection-algorithm","display_name":"Selection algorithm","score":0.46780019998550415},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.46319976449012756},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.445757120847702},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3380374312400818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15684381127357483},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11730173230171204}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7062392830848694},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6940860152244568},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.6775935888290405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6097007393836975},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5903228521347046},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5598908066749573},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5561316609382629},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5343396663665771},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4794853627681732},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.46780019998550415},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.46319976449012756},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.445757120847702},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3380374312400818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15684381127357483},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11730173230171204},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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":2,"locations":[{"id":"doi:10.1186/s13634-024-01127-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01127-1","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01127-1","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:69cd055e88694ec4b29e3fe21f15f0bc","is_oa":false,"landing_page_url":"https://doaj.org/article/69cd055e88694ec4b29e3fe21f15f0bc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-14 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-024-01127-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01127-1","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01127-1","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3804400245","display_name":null,"funder_award_id":"2022.","funder_id":"https://openalex.org/F4320321199","funder_display_name":"Chosun University"}],"funders":[{"id":"https://openalex.org/F4320321199","display_name":"Chosun University","ror":"https://ror.org/01zt9a375"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392653764.pdf","grobid_xml":"https://content.openalex.org/works/W4392653764.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W250076511","https://openalex.org/W391578156","https://openalex.org/W1687080872","https://openalex.org/W1987484735","https://openalex.org/W2044803016","https://openalex.org/W2073233149","https://openalex.org/W2100729440","https://openalex.org/W2147807687","https://openalex.org/W2169207653","https://openalex.org/W2257439149","https://openalex.org/W2963005128","https://openalex.org/W2993521327","https://openalex.org/W4252112222","https://openalex.org/W4288064561","https://openalex.org/W4360879308"],"related_works":["https://openalex.org/W3110381201","https://openalex.org/W2778153218","https://openalex.org/W1531601525","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332","https://openalex.org/W2979334915","https://openalex.org/W2038305795","https://openalex.org/W4385624433","https://openalex.org/W3142215380"],"abstract_inverted_index":{"Abstract":[0],"We":[1,72,105],"address":[2],"the":[3,16,21,26,34,57,60,67,75,79,112,127,147,163],"sensor":[4,30],"selection":[5,53,94,119,158,166],"problem":[6],"where":[7],"linear":[8],"measurements":[9,140],"under":[10,141],"correlated":[11,142],"noise":[12,143],"are":[13],"gathered":[14],"at":[15,98],"selected":[17],"nodes":[18,31],"to":[19,69,84,122],"estimate":[20],"unknown":[22],"parameter.":[23],"Since":[24],"finding":[25],"best":[27],"subset":[28],"of":[29,47,59,95,111,126],"that":[32,55,146],"minimizes":[33],"estimation":[35,62,153],"error":[36,63],"requires":[37],"a":[38,44,51,86,102,108,123,151,156],"prohibitive":[39],"computational":[40],"cost":[41],"especially":[42],"for":[43],"large":[45],"number":[46],"nodes,":[48],"we":[49,133],"propose":[50],"greedy":[52,103],"algorithm":[54,114,149],"uses":[56],"log-determinant":[58],"inverse":[61],"covariance":[64],"matrix":[65],"as":[66,160],"metric":[68,76],"be":[70],"maximized.":[71],"further":[73],"manipulate":[74],"by":[77],"employing":[78],"QR":[80],"and":[81,115,144],"LU":[82],"factorizations":[83],"derive":[85],"simple":[87],"analytic":[88],"rule":[89],"which":[90],"enables":[91],"an":[92],"efficient":[93],"one":[96],"node":[97],"each":[99],"iteration":[100],"in":[101],"manner.":[104],"also":[106],"make":[107],"complexity":[109,125,159],"analysis":[110],"proposed":[113,128,148],"compare":[116],"with":[117,155,162],"different":[118],"methods,":[120],"leading":[121],"competitive":[124],"algorithm.":[129],"For":[130],"performance":[131],"evaluation,":[132],"conduct":[134],"numerical":[135],"experiments":[136],"using":[137],"randomly":[138],"generated":[139],"demonstrate":[145],"achieves":[150],"good":[152],"accuracy":[154],"reasonable":[157],"compared":[161],"previous":[164],"novel":[165],"methods.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
