{"id":"https://openalex.org/W3015589849","doi":"https://doi.org/10.1109/icassp40776.2020.9053514","title":"Line Spectral Estimation with Palindromic Kernels","display_name":"Line Spectral Estimation with Palindromic Kernels","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015589849","doi":"https://doi.org/10.1109/icassp40776.2020.9053514","mag":"3015589849"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5055921974","display_name":"Dieter Verbeke","orcid":"https://orcid.org/0000-0002-8508-2417"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Dieter Verbeke","raw_affiliation_strings":["Vrije Universiteit, Brussel"],"affiliations":[{"raw_affiliation_string":"Vrije Universiteit, Brussel","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013581554","display_name":"Ivan Markovsky","orcid":"https://orcid.org/0000-0001-9976-9685"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Ivan Markovsky","raw_affiliation_strings":["Vrije Universiteit, Brussel"],"affiliations":[{"raw_affiliation_string":"Vrije Universiteit, Brussel","institution_ids":["https://openalex.org/I13469542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055921974"],"corresponding_institution_ids":["https://openalex.org/I13469542"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03570073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"70","issue":null,"first_page":"5965","last_page":"5968"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9984999895095825,"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/T13487","display_name":"Statistical and numerical algorithms","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hankel-matrix","display_name":"Hankel matrix","score":0.717987060546875},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5947954058647156},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5776987075805664},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5735713243484497},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5344024896621704},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5099421739578247},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5047897100448608},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5023355484008789},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48666101694107056},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.4629315733909607},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.45007920265197754},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.42895978689193726},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42090290784835815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3339914083480835},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.24587461352348328},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10118904709815979},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10002309083938599}],"concepts":[{"id":"https://openalex.org/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"score":0.717987060546875},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5947954058647156},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5776987075805664},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5735713243484497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5344024896621704},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5099421739578247},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5047897100448608},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5023355484008789},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48666101694107056},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.4629315733909607},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.45007920265197754},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.42895978689193726},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42090290784835815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3339914083480835},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.24587461352348328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10118904709815979},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10002309083938599},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:148587","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/line-spectral-estimation-with-palindromic-kernels(329dd419-78e7-4f84-8b4c-ede25bf053d1).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"article"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:129982","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/line-spectral-estimation-with-palindromic-kernels(3a8da166-75fc-431f-8f49-eb6f5c157e2f).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"publishedVersion"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:189538","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W121875236","https://openalex.org/W210359992","https://openalex.org/W1512958137","https://openalex.org/W1535144613","https://openalex.org/W2001729062","https://openalex.org/W2012415146","https://openalex.org/W2033332370","https://openalex.org/W2089957712","https://openalex.org/W2097302533","https://openalex.org/W2126625374","https://openalex.org/W2158537680","https://openalex.org/W2319568793","https://openalex.org/W2938926704","https://openalex.org/W4240480786","https://openalex.org/W6604975726"],"related_works":["https://openalex.org/W2153912708","https://openalex.org/W2379264914","https://openalex.org/W2118094278","https://openalex.org/W2639400695","https://openalex.org/W2949173582","https://openalex.org/W4300048032","https://openalex.org/W2089410207","https://openalex.org/W2367577754","https://openalex.org/W2387532542","https://openalex.org/W2362066488"],"abstract_inverted_index":{"Estimation":[0],"of":[1,26,29,95,99],"line":[2],"spectra":[3],"is":[4,18,57,88,113,132],"a":[5,27,70,77,90,96,108,117],"classical":[6],"problem":[7,17,74],"in":[8,13,61,92,133],"signal":[9],"processing":[10],"and":[11,23,75,104],"arises":[12],"many":[14],"applications.":[15],"The":[16,48,86],"to":[19,59,83,107],"estimate":[20],"the":[21,51,81,93,129,138],"frequencies":[22],"corresponding":[24],"amplitudes":[25],"sum":[28],"sinusoidal":[30],"components":[31],"from":[32],"noisy":[33],"measurements.":[34],"It":[35],"can":[36],"be":[37,84],"solved":[38],"with":[39,44],"maximum":[40],"likelihood":[41],"methods":[42],"or":[43],"suboptimal":[45],"subspace":[46,62],"methods.":[47,63],"constraint":[49,111],"that":[50,89,122],"model":[52,82,140],"does":[53,141],"not":[54,142],"have":[55,143],"damping":[56],"difficult":[58],"impose":[60],"We":[64],"develop":[65],"an":[66],"equivalent":[67],"formulation":[68],"as":[69],"structured":[71],"low-rank":[72],"approximation":[73],"present":[76],"necessary":[78,130],"condition":[79,87,131],"for":[80,124],"undamped.":[85],"vector":[91],"kernel":[94],"Hankel":[97],"matrix":[98],"observations":[100],"has":[101],"palindromic":[102],"structure":[103],"it":[105],"leads":[106],"linear":[109],"equality":[110],"which":[112],"easily":[114],"incorporated":[115],"into":[116],"numerical":[118],"algorithm.":[119],"Simulations":[120],"show":[121],"even":[123],"relatively":[125],"high":[126],"noise-to-signal":[127],"ratios,":[128],"practice":[134],"also":[135],"sufficient,":[136],"i.e.,":[137],"identified":[139],"damping.":[144]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}