{"id":"https://openalex.org/W3010843448","doi":"https://doi.org/10.1109/lcomm.2020.2981027","title":"Fast Rank-Revealing QR Factorization for Two-Dimensional Frequency Estimation","display_name":"Fast Rank-Revealing QR Factorization for Two-Dimensional Frequency Estimation","publication_year":2020,"publication_date":"2020-03-16","ids":{"openalex":"https://openalex.org/W3010843448","doi":"https://doi.org/10.1109/lcomm.2020.2981027","mag":"3010843448"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2020.2981027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2020.2981027","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","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/A5088559100","display_name":"Hui Cao","orcid":"https://orcid.org/0000-0002-3085-204X"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Cao","raw_affiliation_strings":["School of Information Engineering, Wuhan University of Technology, Wuhan, China","[School of Information Engineering Wuhan University of Technology Wuhan, China]"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"[School of Information Engineering Wuhan University of Technology Wuhan, China]","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100453144","display_name":"Qi Liu","orcid":"https://orcid.org/0000-0001-5378-6404"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Qi Liu","raw_affiliation_strings":["National University of Singapore, Singapore","[Dept of Electrical and Computer Engineering, National University of Singapore, Singapore]"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"[Dept of Electrical and Computer Engineering, National University of Singapore, Singapore]","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088559100"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.4571,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.5927889,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"24","issue":"6","first_page":"1240","last_page":"1243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9993000030517578,"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":0.9988999962806702,"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/singular-value-decomposition","display_name":"Singular value decomposition","score":0.7743145227432251},{"id":"https://openalex.org/keywords/qr-decomposition","display_name":"QR decomposition","score":0.728273332118988},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6706717014312744},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6697800755500793},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6128648519515991},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5717990398406982},{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.5690377950668335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5547882318496704},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5191770792007446},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.48115718364715576},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4807979166507721},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4152572751045227},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.40177881717681885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3271714150905609},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2519693374633789},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22038963437080383},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.19224435091018677},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.1310989260673523},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08456161618232727}],"concepts":[{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7743145227432251},{"id":"https://openalex.org/C188060507","wikidata":"https://www.wikidata.org/wiki/Q653242","display_name":"QR decomposition","level":3,"score":0.728273332118988},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6706717014312744},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6697800755500793},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6128648519515991},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5717990398406982},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.5690377950668335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5547882318496704},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5191770792007446},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.48115718364715576},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4807979166507721},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4152572751045227},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.40177881717681885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3271714150905609},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2519693374633789},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22038963437080383},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.19224435091018677},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.1310989260673523},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08456161618232727},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2020.2981027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2020.2981027","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W1992723673","https://openalex.org/W2058601902","https://openalex.org/W2100567194","https://openalex.org/W2103633133","https://openalex.org/W2105233799","https://openalex.org/W2130781765","https://openalex.org/W2139969424","https://openalex.org/W2141163575","https://openalex.org/W2141387133","https://openalex.org/W2142614231","https://openalex.org/W2244012321","https://openalex.org/W2740230851","https://openalex.org/W2893062133","https://openalex.org/W2949360721","https://openalex.org/W3143686743","https://openalex.org/W6676047094"],"related_works":["https://openalex.org/W3046517157","https://openalex.org/W2114458102","https://openalex.org/W2035885121","https://openalex.org/W2782904003","https://openalex.org/W2059421710","https://openalex.org/W2118633810","https://openalex.org/W4226434912","https://openalex.org/W2539577420","https://openalex.org/W1538524278","https://openalex.org/W2150953077"],"abstract_inverted_index":{"It":[0],"is":[1,45,76,111],"well":[2],"known":[3],"that":[4],"the":[5,11,16,53,92,104,115,126,129,140],"singular":[6],"value":[7],"decomposition":[8],"(SVD),":[9],"as":[10,109,145],"best":[12,17],"rank-revealing":[13,66],"factorization,":[14],"furnishes":[15],"rank-k":[18],"approximation":[19],"to":[20,47,113],"a":[21,64,84],"dense":[22],"matrix":[23],"with":[24,73,103,134],"expensive":[25],"computational":[26,116],"cost":[27],"of":[28,83,118,128],"(9(M":[29],"<sup":[30,36],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[31,37],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[32,38],"N":[33,35],"+":[34,40],"M":[39],"min(M,":[41],"N)3).":[42],"Moreover,":[43],"it":[44],"hard":[46],"implement":[48],"in":[49,56,87,132],"parallel,":[50],"which":[51],"challenges":[52],"memory":[54],"storage":[55],"wireless":[57],"communications":[58],"data-driven":[59],"system.":[60],"In":[61],"this":[62],"letter,":[63],"fast":[65],"technique,":[67],"namely,":[68],"bilateral":[69],"random":[70],"projections":[71],"(BRP)":[72],"(9(MN)":[74],"operations,":[75],"exploited":[77],"for":[78],"two-dimensional":[79],"(2-D)":[80],"frequency":[81,100,121,136],"estimation":[82,101,137],"complex":[85],"sinusoid":[86],"noisy":[88],"environment.":[89],"Based":[90],"on":[91],"resulting":[93],"data":[94],"matrix,":[95],"whereafter,":[96],"two-stage":[97],"QR":[98],"factorization":[99],"method":[102],"weighted":[105],"least":[106],"squares":[107],"(WLS)":[108],"solver,":[110],"proposed":[112,130],"reduce":[114],"complexity":[117],"those":[119],"SVD-based":[120],"estimators.":[122],"Simulation":[123],"results":[124],"demonstrate":[125],"efficiency":[127],"algorithm":[131],"comparison":[133],"several":[135],"approaches":[138],"and":[139],"Cram\u00e9r-Rao":[141],"lower":[142],"bound":[143],"(CRLB)":[144],"benchmark.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}