{"id":"https://openalex.org/W4387917988","doi":"https://doi.org/10.1109/access.2023.3327011","title":"Minimum-Spanning-Tree-Based Time Delay Estimation Robust to Outliers","display_name":"Minimum-Spanning-Tree-Based Time Delay Estimation Robust to Outliers","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387917988","doi":"https://doi.org/10.1109/access.2023.3327011"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3327011","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3327011","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10294294.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10294294.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005122247","display_name":"Kouei Yamaoka","orcid":"https://orcid.org/0000-0001-9081-024X"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kouei Yamaoka","raw_affiliation_strings":["Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-9081-024X","affiliations":[{"raw_affiliation_string":"Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040475714","display_name":"Taishi Nakashima","orcid":"https://orcid.org/0000-0001-5417-1428"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taishi Nakashima","raw_affiliation_strings":["Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-5417-1428","affiliations":[{"raw_affiliation_string":"Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103010851","display_name":"Yukoh Wakabayashi","orcid":"https://orcid.org/0000-0001-8846-3699"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]},{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukoh Wakabayashi","raw_affiliation_strings":["Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan","Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Japan"],"raw_orcid":"https://orcid.org/0000-0001-8846-3699","affiliations":[{"raw_affiliation_string":"Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Japan","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056281759","display_name":"Nobutaka Ono","orcid":"https://orcid.org/0000-0003-4242-2773"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobutaka Ono","raw_affiliation_strings":["Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4242-2773","affiliations":[{"raw_affiliation_string":"Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4907,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6450205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"11","issue":null,"first_page":"121284","last_page":"121294"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.996399998664856,"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"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9945999979972839,"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/outlier","display_name":"Outlier","score":0.7372954487800598},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6667690873146057},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5985500812530518},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5259556770324707},{"id":"https://openalex.org/keywords/minimum-spanning-tree","display_name":"Minimum spanning tree","score":0.5067501664161682},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.470179945230484},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4701286256313324},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4527646601200104},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44938603043556213},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4177093505859375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3281153440475464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17369559407234192},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.09466367959976196}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7372954487800598},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6667690873146057},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5985500812530518},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5259556770324707},{"id":"https://openalex.org/C13743678","wikidata":"https://www.wikidata.org/wiki/Q240464","display_name":"Minimum spanning tree","level":2,"score":0.5067501664161682},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.470179945230484},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4701286256313324},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4527646601200104},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44938603043556213},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4177093505859375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3281153440475464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17369559407234192},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.09466367959976196},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3327011","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3327011","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10294294.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2e2d728614a14f7cbcb6a0b322668ee2","is_oa":true,"landing_page_url":"https://doaj.org/article/2e2d728614a14f7cbcb6a0b322668ee2","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 121284-121294 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3327011","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3327011","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10294294.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2664191106","display_name":"\u97f3\u30e1\u30c7\u30a3\u30a2\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u304a\u3051\u308b\u5171\u5275\u578b\u6a5f\u80fd\u62e1\u5f35\u6280\u8853\u306e\u5275\u51fa","funder_award_id":"JPMJCR19A3","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G3860729914","display_name":"Innovation of speech / acoustic scene recognition based on distributed acoustic sensing and asynchronous sequence modeling","funder_award_id":"20H00613","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5022753095","display_name":"\u9078\u629e\u7684\u97f3\u697d\u8074\u53d6\u3092\u5b9f\u73fe\u3059\u308b\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u97f3\u6e90\u5206\u96e2\u3068\u305d\u306e\u5fdc\u7528","funder_award_id":"22KJ2548","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6718509927","display_name":null,"funder_award_id":"CREST","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8892501299","display_name":null,"funder_award_id":"JPMJCR19A3","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387917988.pdf","grobid_xml":"https://content.openalex.org/works/W4387917988.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W174187144","https://openalex.org/W247073382","https://openalex.org/W1547529764","https://openalex.org/W1968778433","https://openalex.org/W2017927472","https://openalex.org/W2018647789","https://openalex.org/W2023972572","https://openalex.org/W2032841680","https://openalex.org/W2038643833","https://openalex.org/W2046317813","https://openalex.org/W2069885239","https://openalex.org/W2071608040","https://openalex.org/W2085034047","https://openalex.org/W2092463830","https://openalex.org/W2096763807","https://openalex.org/W2099402957","https://openalex.org/W2100142719","https://openalex.org/W2116635162","https://openalex.org/W2122077079","https://openalex.org/W2127617367","https://openalex.org/W2128865241","https://openalex.org/W2132022337","https://openalex.org/W2141427791","https://openalex.org/W2146053319","https://openalex.org/W2148752651","https://openalex.org/W2148886336","https://openalex.org/W2155729187","https://openalex.org/W2169528473","https://openalex.org/W2169730407","https://openalex.org/W2191157981","https://openalex.org/W2291813093","https://openalex.org/W2486913545","https://openalex.org/W2568308529","https://openalex.org/W2747805921","https://openalex.org/W2763188033","https://openalex.org/W2800169211","https://openalex.org/W2801056699","https://openalex.org/W2963322744","https://openalex.org/W2972089994","https://openalex.org/W3015050567","https://openalex.org/W3021261768","https://openalex.org/W3023730095","https://openalex.org/W3102937397","https://openalex.org/W3114119488","https://openalex.org/W3117396592","https://openalex.org/W3154119858","https://openalex.org/W4226028242","https://openalex.org/W4244148219","https://openalex.org/W4245608944","https://openalex.org/W4255306344","https://openalex.org/W4285031189","https://openalex.org/W4381186834","https://openalex.org/W6632440490","https://openalex.org/W6677996159","https://openalex.org/W6810337098"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W2580722822","https://openalex.org/W2772305933","https://openalex.org/W1486338765","https://openalex.org/W4387454008"],"abstract_inverted_index":{"In":[0],"this":[1,57,110,134,160],"paper,":[2],"we":[3,59,72],"present":[4],"a":[5,96,167],"novel":[6],"approach":[7,62],"to":[8,20,46,63,127,147,162],"estimating":[9],"multiple":[10],"time":[11],"delays":[12],"(TDs)":[13],"in":[14,109],"sensor":[15,39],"arrays":[16],"that":[17,81,101,182,190],"is":[18,88,107],"robust":[19],"outliers":[21,44,187],"of":[22,33,37,52,77,84,86,91,105,165],"TD":[23,69,177],"measurements.":[24,70],"These":[25],"measurements":[26,120],"are":[27],"typically":[28],"obtained":[29],"from":[30,118],"the":[31,34,50,66,74,82,89,102,122,138,149,155,163],"peak":[32],"cross":[35],"correlation":[36],"two":[38],"signals":[40],"but":[41],"may":[42],"contain":[43],"due":[45],"noise,":[47],"significantly":[48],"degrading":[49],"performance":[51],"downstream":[53],"applications.":[54],"To":[55],"address":[56],"issue,":[58],"propose":[60,172],"an":[61,144,173],"leverage":[64],"only":[65],"best":[67],"minimum-necessary":[68],"First,":[71],"describe":[73],"general":[75],"properties":[76],"TDs":[78,87,106,117,130,152,192],"and":[79,124,141,171],"show":[80],"degree":[83],"freedom":[85],"number":[90],"sensors":[92],"minus":[93],"one":[94],"for":[95,176],"signal":[97],"source,":[98],"which":[99],"indicates":[100],"full":[103],"set":[104],"redundant":[108],"case.":[111],"We":[112,132,158],"then":[113],"consider":[114],"selecting":[115],"nonredundant":[116,151],"all":[119,129,191],"given":[121],"necessary":[123],"sufficient":[125],"condition":[126,135,156],"reconstruct":[128],"uniquely.":[131],"represent":[133],"by":[136],"utilizing":[137],"graph":[139],"theory,":[140],"then,":[142],"formulate":[143],"optimization":[145],"problem":[146,161,164],"select":[148],"optimal":[150],"while":[153,188],"satisfying":[154],"above.":[157],"reduce":[159],"finding":[166],"minimum":[168],"spanning":[169],"tree":[170],"efficient":[174],"algorithm":[175],"estimation.":[178],"Experimental":[179],"evaluation":[180],"shows":[181],"our":[183],"method":[184],"successfully":[185],"eliminates":[186],"ensuring":[189],"can":[193],"be":[194],"restored.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
