{"id":"https://openalex.org/W3123827984","doi":"https://doi.org/10.1109/access.2021.3053517","title":"A Reduced Complexity Tensor Approach for Order Selection and Frequency Estimation","display_name":"A Reduced Complexity Tensor Approach for Order Selection and Frequency Estimation","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3123827984","doi":"https://doi.org/10.1109/access.2021.3053517","mag":"3123827984"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3053517","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3053517","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09330562.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":null,"license_id":null,"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/ielx7/6287639/9312710/09330562.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010529350","display_name":"Runyi Yu","orcid":"https://orcid.org/0000-0003-1925-8442"},"institutions":[{"id":"https://openalex.org/I36515993","display_name":"Eastern Mediterranean University","ror":"https://ror.org/00excyz84","country_code":"CY","type":"education","lineage":["https://openalex.org/I36515993"]}],"countries":["CY"],"is_corresponding":true,"raw_author_name":"Runyi Yu","raw_affiliation_strings":["Eastern Mediterranean University, Gazima\u011fusa, Turkey"],"affiliations":[{"raw_affiliation_string":"Eastern Mediterranean University, Gazima\u011fusa, Turkey","institution_ids":["https://openalex.org/I36515993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028162728","display_name":"Erhan A. \u0130nce","orcid":"https://orcid.org/0000-0002-1079-3601"},"institutions":[{"id":"https://openalex.org/I36515993","display_name":"Eastern Mediterranean University","ror":"https://ror.org/00excyz84","country_code":"CY","type":"education","lineage":["https://openalex.org/I36515993"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Erhan A. Ince","raw_affiliation_strings":["Eastern Mediterranean University, Gazima\u011fusa, Turkey"],"affiliations":[{"raw_affiliation_string":"Eastern Mediterranean University, Gazima\u011fusa, Turkey","institution_ids":["https://openalex.org/I36515993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010529350"],"corresponding_institution_ids":["https://openalex.org/I36515993"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3047,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50385396,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"19412","last_page":"19420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9937999844551086,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9937999844551086,"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":0.9833999872207642,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9793999791145325,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.7525430917739868},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.7446719408035278},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7102586627006531},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6371143460273743},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5866421461105347},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5792553424835205},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5712025761604309},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.544796884059906},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5347625017166138},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5187940001487732},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.4663113057613373},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44048455357551575},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.4246601164340973},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4184395372867584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3864583671092987},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37528538703918457},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.35639724135398865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23334413766860962},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1654476821422577},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10638657212257385}],"concepts":[{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7525430917739868},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.7446719408035278},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7102586627006531},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6371143460273743},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5866421461105347},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5792553424835205},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5712025761604309},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.544796884059906},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5347625017166138},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5187940001487732},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.4663113057613373},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44048455357551575},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.4246601164340973},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4184395372867584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3864583671092987},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37528538703918457},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.35639724135398865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23334413766860962},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1654476821422577},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10638657212257385},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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:10.1109/access.2021.3053517","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3053517","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09330562.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9c57c22613ba47dabdce850fe52bff5f","is_oa":true,"landing_page_url":"https://doaj.org/article/9c57c22613ba47dabdce850fe52bff5f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 9, Pp 19412-19420 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3053517","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3053517","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09330562.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3123827984.pdf","grobid_xml":"https://content.openalex.org/works/W3123827984.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1514558801","https://openalex.org/W1814500939","https://openalex.org/W2001188690","https://openalex.org/W2013912476","https://openalex.org/W2014380311","https://openalex.org/W2047282266","https://openalex.org/W2047734876","https://openalex.org/W2050838977","https://openalex.org/W2070292941","https://openalex.org/W2109522725","https://openalex.org/W2110979989","https://openalex.org/W2113638573","https://openalex.org/W2128131274","https://openalex.org/W2129740613","https://openalex.org/W2136172079","https://openalex.org/W2137919732","https://openalex.org/W2147863695","https://openalex.org/W2150593711","https://openalex.org/W2155833587","https://openalex.org/W2155969596","https://openalex.org/W2160664759","https://openalex.org/W2807164697","https://openalex.org/W2905531958","https://openalex.org/W2964968743","https://openalex.org/W2966831641","https://openalex.org/W3035001878","https://openalex.org/W3040148464","https://openalex.org/W3139866291"],"related_works":["https://openalex.org/W2393291521","https://openalex.org/W2102736780","https://openalex.org/W2921280830","https://openalex.org/W2572601863","https://openalex.org/W2887132723","https://openalex.org/W2081240962","https://openalex.org/W1670628120","https://openalex.org/W1976318097","https://openalex.org/W2756533552","https://openalex.org/W2138981061"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,80,109],"reduced":[4,125,152],"complexity":[5,127,154],"tensor":[6,18,32,72,138],"approach":[7],"for":[8,130],"order":[9,20,55,112,140],"selection":[10,21,56],"and":[11,60,104,108,113,121,128,155],"subspace-based":[12],"frequency":[13,74,114,161],"estimation.":[14],"The":[15,69,144],"proposed":[16,70,132],"covariance":[17,31,71,92,137],"based":[19,73,139],"algorithm,":[22],"termed":[23,76],"as":[24,77],"CT-OS,":[25],"uses":[26],"singular":[27,81,87],"values":[28],"of":[29,39,52,90],"the":[30,35,47,85,91,98,101,131,135,160],"formed":[33],"from":[34],"1D":[36],"noisy":[37],"observations":[38,59],"multiple":[40],"complex":[41],"sinusoids.":[42],"Experimental":[43,94],"results":[44,95,123],"show":[45,96],"that":[46,97],"CT-OS":[48,133],"algorithm":[49,106,142,146],"is":[50,61,147],"capable":[51],"providing":[53],"accurate":[54],"under":[57,63],"short":[58],"robust":[62],"medium":[64],"to":[65,150],"high":[66],"signal-to-noise":[67],"ratios.":[68],"estimator,":[75],"CT-FE,":[78],"utilizes":[79],"vector":[82],"matrix":[83],"in":[84],"higher-order":[86],"value":[88],"decomposition":[89],"tensor.":[93],"CT-FE":[99,145],"outperforms":[100],"subspace":[102],"alignment":[103],"separation":[105],"(SAS-Est)":[107],"recent":[110,136],"two-stage":[111],"estimation":[115,141],"algorithm.":[116],"Furthermore,":[117],"both":[118],"theoretical":[119],"analysis":[120],"experimental":[122],"demonstrate":[124],"computational":[126,153],"time":[129,156],"against":[134],"CTB-OE.":[143],"also":[148],"shown":[149],"enjoy":[151],"when":[157],"compared":[158],"with":[159],"estimator":[162],"SAS-Est.":[163]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}