{"id":"https://openalex.org/W2963668942","doi":"https://doi.org/10.1109/tvt.2019.2905240","title":"On Solving Ambiguity Resolution With Robust Chinese Remainder Theorem for Multiple Numbers","display_name":"On Solving Ambiguity Resolution With Robust Chinese Remainder Theorem for Multiple Numbers","publication_year":2019,"publication_date":"2019-03-20","ids":{"openalex":"https://openalex.org/W2963668942","doi":"https://doi.org/10.1109/tvt.2019.2905240","mag":"2963668942"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2019.2905240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2019.2905240","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5101702107","display_name":"Hanshen Xiao","orcid":"https://orcid.org/0000-0003-3380-4518"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanshen Xiao","raw_affiliation_strings":["CSAIL and the EECS Department, Massachusetts Inst. Technol., Cambridge, MA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3380-4518","affiliations":[{"raw_affiliation_string":"CSAIL and the EECS Department, Massachusetts Inst. Technol., Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047341940","display_name":"Guoqiang Xiao","orcid":"https://orcid.org/0000-0003-2165-476X"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Xiao","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-2165-476X","affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":1.1833,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.7760615,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"68","issue":"5","first_page":"5179","last_page":"5184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9922999739646912,"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":0.9922999739646912,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9897000193595886,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9864000082015991,"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/chinese-remainder-theorem","display_name":"Chinese remainder theorem","score":0.8714841604232788},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7417598366737366},{"id":"https://openalex.org/keywords/remainder","display_name":"Remainder","score":0.7357643842697144},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5890851020812988},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5481989979743958},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5024096965789795},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.49205631017684937},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.46509090065956116},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4494117498397827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40391331911087036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17673930525779724},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.11381697654724121}],"concepts":[{"id":"https://openalex.org/C151635116","wikidata":"https://www.wikidata.org/wiki/Q193878","display_name":"Chinese remainder theorem","level":2,"score":0.8714841604232788},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7417598366737366},{"id":"https://openalex.org/C39613435","wikidata":"https://www.wikidata.org/wiki/Q846677","display_name":"Remainder","level":2,"score":0.7357643842697144},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5890851020812988},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5481989979743958},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5024096965789795},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.49205631017684937},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.46509090065956116},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4494117498397827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40391331911087036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17673930525779724},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.11381697654724121},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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":1,"locations":[{"id":"doi:10.1109/tvt.2019.2905240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2019.2905240","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W910948537","https://openalex.org/W1976826674","https://openalex.org/W1979090482","https://openalex.org/W1983318385","https://openalex.org/W2007747613","https://openalex.org/W2066147577","https://openalex.org/W2148658701","https://openalex.org/W2170389905","https://openalex.org/W2176080888","https://openalex.org/W2267105192","https://openalex.org/W2319829520","https://openalex.org/W2538651761","https://openalex.org/W2766488636","https://openalex.org/W2801332561","https://openalex.org/W2807984534","https://openalex.org/W2890669445","https://openalex.org/W3106091231"],"related_works":["https://openalex.org/W1984910481","https://openalex.org/W2154733965","https://openalex.org/W1608773862","https://openalex.org/W2366394750","https://openalex.org/W2161621882","https://openalex.org/W2393337705","https://openalex.org/W2170618847","https://openalex.org/W4388257762","https://openalex.org/W2366738637","https://openalex.org/W2894692820"],"abstract_inverted_index":{"Chinese":[0],"remainder":[1],"theorem":[2],"(CRT)":[3],"is":[4],"a":[5],"powerful":[6],"approach":[7],"to":[8,51,73,82],"solve":[9],"ambiguity":[10],"resolution":[11],"related":[12],"problems":[13,70],"such":[14],"as":[15],"undersampling":[16],"frequency":[17],"estimation":[18,61],"and":[19,48,80,107],"phase":[20],"unwrapping.":[21],"Recently,":[22],"the":[23,39],"deterministic":[24],"robust":[25],"CRT":[26,47],"for":[27,62],"multiple":[28,36,63],"numbers":[29],"(RCRTMN)":[30],"was":[31],"proposed,":[32],"which":[33,102],"can":[34,103],"reconstruct":[35],"integers":[37],"with":[38,75,98],"unknown":[40],"relationship":[41],"of":[42,95],"residue":[43],"correspondence":[44],"via":[45],"generalized":[46],"achieve":[49],"robustness":[50],"bounded":[52],"errors":[53,77,106],"simultaneously.":[54],"Naturally,":[55],"RCRTMN":[56,87,96],"sheds":[57],"light":[58],"on":[59],"CRT-based":[60],"objectives.":[64],"In":[65],"this":[66],"paper,":[67],"two":[68],"open":[69],"that":[71],"how":[72,81],"deal":[74],"arbitrary":[76],"in":[78,111],"residues":[79],"introduce":[83],"statistical":[84],"techniques":[85],"into":[86],"are":[88],"solved.":[89],"We":[90],"propose":[91],"an":[92],"extended":[93],"version":[94],"assisted":[97],"maximum":[99],"likelihood":[100],"estimation,":[101],"tolerate":[104],"unrestricted":[105],"bring":[108],"considerable":[109],"improvement":[110],"robustness.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
