{"id":"https://openalex.org/W2025843245","doi":"https://doi.org/10.1109/lsp.2012.2234453","title":"Efficient 2-D Frequency and Damping Estimation by Interpolation on Fourier Coefficients","display_name":"Efficient 2-D Frequency and Damping Estimation by Interpolation on Fourier Coefficients","publication_year":2012,"publication_date":"2012-12-24","ids":{"openalex":"https://openalex.org/W2025843245","doi":"https://doi.org/10.1109/lsp.2012.2234453","mag":"2025843245"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2012.2234453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2012.2234453","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing 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/A5081973560","display_name":"Shanglin Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shanglin Ye","raw_affiliation_strings":["School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia","Sch. of Electr. Eng. & Telecommun, Univ. of New South Wales, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"Sch. of Electr. Eng. & Telecommun, Univ. of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003057050","display_name":"Elias Aboutanios","orcid":"https://orcid.org/0000-0003-1596-4999"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"E. Aboutanios","raw_affiliation_strings":["School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia","Sch. of Electr. Eng. & Telecommun, Univ. of New South Wales, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"Sch. of Electr. Eng. & Telecommun, Univ. of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7495,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74274102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"20","issue":"2","first_page":"137","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9972000122070312,"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":0.9958000183105469,"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":0.8129416108131409},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.7213013172149658},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6618605256080627},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6506927013397217},{"id":"https://openalex.org/keywords/spectral-density-estimation","display_name":"Spectral density estimation","score":0.5387566685676575},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5054175853729248},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4943881034851074},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4751172661781311},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4722275733947754},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46644872426986694},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4254497289657593},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.4203827977180481},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37244993448257446},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.35421252250671387},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1799546182155609},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.14111432433128357},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09348717331886292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08693847060203552},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07873302698135376}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8129416108131409},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.7213013172149658},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6618605256080627},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6506927013397217},{"id":"https://openalex.org/C30049272","wikidata":"https://www.wikidata.org/wiki/Q6555326","display_name":"Spectral density estimation","level":3,"score":0.5387566685676575},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5054175853729248},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4943881034851074},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4751172661781311},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4722275733947754},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46644872426986694},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4254497289657593},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.4203827977180481},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37244993448257446},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.35421252250671387},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1799546182155609},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.14111432433128357},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09348717331886292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08693847060203552},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07873302698135376},{"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/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2012.2234453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2012.2234453","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing 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":10,"referenced_works":["https://openalex.org/W1968079322","https://openalex.org/W2065754355","https://openalex.org/W2100567194","https://openalex.org/W2105233799","https://openalex.org/W2107115183","https://openalex.org/W2128575867","https://openalex.org/W2141387133","https://openalex.org/W2142614231","https://openalex.org/W2148836193","https://openalex.org/W2167218293"],"related_works":["https://openalex.org/W4327521644","https://openalex.org/W2978884468","https://openalex.org/W2168413811","https://openalex.org/W2005846134","https://openalex.org/W2369237035","https://openalex.org/W2948041274","https://openalex.org/W2165986314","https://openalex.org/W2322333442","https://openalex.org/W2044803233","https://openalex.org/W2097994476"],"abstract_inverted_index":{"This":[0],"letter":[1],"focuses":[2],"on":[3,36,38],"the":[4,8,26,30,49,56,74,89,93],"efficient":[5],"estimation":[6],"of":[7,13,73,92],"frequencies":[9],"and":[10,101],"damping":[11],"factors":[12],"a":[14],"single":[15],"2-D":[16,42],"damped":[17,43],"complex":[18],"exponential":[19],"in":[20,61],"additive":[21],"Gaussian":[22],"noise.":[23],"We":[24,85],"derive":[25],"estimators":[27,75],"by":[28],"extending":[29],"FFT-based":[31],"frequency":[32],"estimator":[33],"that":[34,48,76,88],"relies":[35],"interpolation":[37],"Fourier":[39],"coefficients":[40],"to":[41,81],"signals.":[44],"Performance":[45],"analysis":[46],"shows":[47],"algorithm":[50,94],"can":[51],"achieve":[52],"minimum":[53],"variances":[54],"at":[55],"fixed":[57],"point":[58],"when":[59],"implemented":[60],"an":[62],"interleaved":[63],"manner":[64],"for":[65],"two":[66],"iterations.":[67],"Furthermore,":[68],"we":[69],"propose":[70],"linearized":[71],"version":[72],"render":[77],"them":[78],"more":[79],"amenable":[80],"real-time":[82],"DSP":[83],"implementation.":[84],"also":[86],"demonstrate":[87],"iterative":[90],"implementation":[91],"combining":[95],"both":[96,99],"versions":[97],"is":[98],"unbiased":[100],"accurate.":[102]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}