{"id":"https://openalex.org/W2976289259","doi":"https://doi.org/10.1109/ispacs.2018.8923239","title":"Fast Gridless Estimation of Damped Modes","display_name":"Fast Gridless Estimation of Damped Modes","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2976289259","doi":"https://doi.org/10.1109/ispacs.2018.8923239","mag":"2976289259"},"language":"en","primary_location":{"id":"doi:10.1109/ispacs.2018.8923239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2018.8923239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","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/A5035290424","display_name":"Maria Juhlin","orcid":"https://orcid.org/0000-0002-0807-5862"},"institutions":[{"id":"https://openalex.org/I1279596006","display_name":"Statistics Sweden","ror":"https://ror.org/05x7wz523","country_code":"SE","type":"government","lineage":["https://openalex.org/I1279596006"]},{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Maria Juhlin","raw_affiliation_strings":["Mathematical Statistics, Lund University, Sweden"],"affiliations":[{"raw_affiliation_string":"Mathematical Statistics, Lund University, Sweden","institution_ids":["https://openalex.org/I1279596006","https://openalex.org/I187531555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013286528","display_name":"Filip Elvander","orcid":"https://orcid.org/0000-0003-1857-2173"},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]},{"id":"https://openalex.org/I1279596006","display_name":"Statistics Sweden","ror":"https://ror.org/05x7wz523","country_code":"SE","type":"government","lineage":["https://openalex.org/I1279596006"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Filip Elvander","raw_affiliation_strings":["Mathematical Statistics, Lund University, Sweden"],"affiliations":[{"raw_affiliation_string":"Mathematical Statistics, Lund University, Sweden","institution_ids":["https://openalex.org/I1279596006","https://openalex.org/I187531555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007565825","display_name":"Johan Sw\u00e4rd","orcid":null},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]},{"id":"https://openalex.org/I1279596006","display_name":"Statistics Sweden","ror":"https://ror.org/05x7wz523","country_code":"SE","type":"government","lineage":["https://openalex.org/I1279596006"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Johan Sward","raw_affiliation_strings":["Mathematical Statistics, Lund University, Sweden"],"affiliations":[{"raw_affiliation_string":"Mathematical Statistics, Lund University, Sweden","institution_ids":["https://openalex.org/I1279596006","https://openalex.org/I187531555"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037213595","display_name":"Andreas Jakobsson","orcid":"https://orcid.org/0000-0002-2156-6973"},"institutions":[{"id":"https://openalex.org/I1279596006","display_name":"Statistics Sweden","ror":"https://ror.org/05x7wz523","country_code":"SE","type":"government","lineage":["https://openalex.org/I1279596006"]},{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Andreas Jakobsson","raw_affiliation_strings":["Mathematical Statistics, Lund University, Sweden"],"affiliations":[{"raw_affiliation_string":"Mathematical Statistics, Lund University, Sweden","institution_ids":["https://openalex.org/I1279596006","https://openalex.org/I187531555"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035290424"],"corresponding_institution_ids":["https://openalex.org/I1279596006","https://openalex.org/I187531555"],"apc_list":null,"apc_paid":null,"fwci":0.6632,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71943288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"346","last_page":"351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9984999895095825,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7612116932868958},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.7448716759681702},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6999937295913696},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6326729655265808},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6280472278594971},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.574462354183197},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5082883238792419},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.43307578563690186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21733850240707397},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09644955396652222},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07981541752815247},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07825067639350891}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7612116932868958},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.7448716759681702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6999937295913696},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6326729655265808},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6280472278594971},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.574462354183197},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5082883238792419},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.43307578563690186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21733850240707397},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09644955396652222},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07981541752815247},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07825067639350891},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","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},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ispacs.2018.8923239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2018.8923239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","raw_type":"proceedings-article"},{"id":"pmh:oai:lup.lub.lu.se:99c76609-d22d-47d6-b93d-8228475868fe","is_oa":false,"landing_page_url":"https://lup.lub.lu.se/record/99c76609-d22d-47d6-b93d-8228475868fe","pdf_url":null,"source":{"id":"https://openalex.org/S4306400536","display_name":"Lund University Publications (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"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":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W1757098471","https://openalex.org/W1814500939","https://openalex.org/W1979021229","https://openalex.org/W2018962290","https://openalex.org/W2035214274","https://openalex.org/W2049197372","https://openalex.org/W2058884773","https://openalex.org/W2060927553","https://openalex.org/W2086000201","https://openalex.org/W2107861471","https://openalex.org/W2116974465","https://openalex.org/W2123457453","https://openalex.org/W2134144792","https://openalex.org/W2160664759","https://openalex.org/W2164278908","https://openalex.org/W2167218293","https://openalex.org/W2168076340","https://openalex.org/W2323785876","https://openalex.org/W2342760931","https://openalex.org/W2400598469","https://openalex.org/W2404040708","https://openalex.org/W2608478631","https://openalex.org/W2765477954","https://openalex.org/W2770085657","https://openalex.org/W2902775499","https://openalex.org/W2963005128","https://openalex.org/W2963319429","https://openalex.org/W2964189955","https://openalex.org/W4292363360","https://openalex.org/W6677554754"],"related_works":["https://openalex.org/W1576818031","https://openalex.org/W4300105106","https://openalex.org/W2081717452","https://openalex.org/W2327225206","https://openalex.org/W1975700603","https://openalex.org/W2001413153","https://openalex.org/W2953763369","https://openalex.org/W2047523477","https://openalex.org/W2384004979","https://openalex.org/W2387909480"],"abstract_inverted_index":{"Estimating":[0],"the":[1,14,18,39,61,83,89,103],"parameters":[2],"of":[3,17,88],"damped":[4,54],"modes":[5],"is":[6,20,79,92],"generally":[7],"computationally":[8,31],"cumbersome,":[9],"especially":[10],"in":[11,74],"cases":[12],"when":[13],"model":[15],"order":[16],"signal":[19],"not":[21],"known":[22],"a":[23,30,66],"priori.":[24],"In":[25,56],"this":[26],"work,":[27],"we":[28],"propose":[29],"efficient":[32],"grid-less":[33],"sparse":[34],"reconstruction":[35],"technique":[36],"based":[37],"on":[38],"recent":[40],"SURE":[41],"estimator":[42],"developed":[43],"for":[44,53,65],"sinusoidal":[45],"signals,":[46],"extending":[47],"it":[48],"as":[49,106],"to":[50,58,108],"also":[51],"allow":[52],"modes.":[55],"contrast":[57],"other":[59],"estimators":[60],"proposed":[62,90],"method":[63,91],"allows":[64],"non-uniform":[67],"sampling":[68,78],"scheme,":[69],"thus":[70],"presenting":[71],"superior":[72],"performance":[73,87,105],"applications":[75],"where":[76],"uniform":[77],"suboptimal,":[80],"hence":[81],"broadening":[82],"application":[84],"range.":[85],"The":[86],"illustrated":[93],"using":[94],"both":[95],"simulated":[96],"and":[97],"real":[98],"spectroscopic":[99],"data,":[100],"clearly":[101],"showing":[102],"improved":[104],"compared":[107],"previous":[109],"techniques.":[110]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}