{"id":"https://openalex.org/W2912263317","doi":"https://doi.org/10.1109/tcsii.2019.2898451","title":"An Adaptive Denoising Algorithm for Improving Frequency Estimation and Tracking","display_name":"An Adaptive Denoising Algorithm for Improving Frequency Estimation and Tracking","publication_year":2019,"publication_date":"2019-02-12","ids":{"openalex":"https://openalex.org/W2912263317","doi":"https://doi.org/10.1109/tcsii.2019.2898451","mag":"2912263317"},"language":"en","primary_location":{"id":"doi:10.1109/tcsii.2019.2898451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2019.2898451","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"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 Transactions on Circuits and Systems II: Express Briefs","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/A5011449810","display_name":"Chamith Wijenayake","orcid":"https://orcid.org/0000-0002-2070-1010"},"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":"Chamith Wijenayake","raw_affiliation_strings":["School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-2070-1010","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065909911","display_name":"Amir Antonir","orcid":"https://orcid.org/0000-0002-0324-3193"},"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":"Amir Antonir","raw_affiliation_strings":["School of Computer Science and Engineering, University of New South Wales, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0324-3193","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089112216","display_name":"Gabriele Keller","orcid":"https://orcid.org/0000-0003-1442-5387"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Gabriele Keller","raw_affiliation_strings":["Department of Science, University of Utrecht, Utrecht, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0003-1442-5387","affiliations":[{"raw_affiliation_string":"Department of Science, University of Utrecht, Utrecht, The Netherlands","institution_ids":["https://openalex.org/I193662353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079126989","display_name":"Aleksandar Ignjatovi\u0107","orcid":"https://orcid.org/0000-0001-7427-4934"},"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":"Aleksandar Ignjatovic","raw_affiliation_strings":["School of Computer Science and Engineering, University of New South Wales, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7427-4934","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6827,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.69735254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"67","issue":"1","first_page":"172","last_page":"176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.998199999332428,"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":0.9945999979972839,"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/robustness","display_name":"Robustness (evolution)","score":0.7292124032974243},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6570318341255188},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6116651296615601},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5074064135551453},{"id":"https://openalex.org/keywords/noise-power","display_name":"Noise power","score":0.5023167133331299},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4623808264732361},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4324778914451599},{"id":"https://openalex.org/keywords/chromatic-scale","display_name":"Chromatic scale","score":0.4172496795654297},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35370349884033203},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.22082433104515076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21420511603355408},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.19424790143966675},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0684221088886261}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7292124032974243},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6570318341255188},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6116651296615601},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5074064135551453},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.5023167133331299},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4623808264732361},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4324778914451599},{"id":"https://openalex.org/C196956537","wikidata":"https://www.wikidata.org/wiki/Q202021","display_name":"Chromatic scale","level":2,"score":0.4172496795654297},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35370349884033203},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.22082433104515076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21420511603355408},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.19424790143966675},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0684221088886261},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsii.2019.2898451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2019.2898451","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"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 Transactions on Circuits and Systems II: Express Briefs","raw_type":"journal-article"},{"id":"pmh:oai:espace.library.uq.edu.au:UQ:3fec5b3","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402388","display_name":"Queensland's institutional digital repository (The University of Queensland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165143802","host_organization_name":"The University of Queensland","host_organization_lineage":["https://openalex.org/I165143802"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1596167301","https://openalex.org/W1644632365","https://openalex.org/W1977691557","https://openalex.org/W1992385338","https://openalex.org/W2000874406","https://openalex.org/W2077100346","https://openalex.org/W2118682956","https://openalex.org/W2125095409","https://openalex.org/W2140251581","https://openalex.org/W2759731869","https://openalex.org/W2775953574","https://openalex.org/W2781424117","https://openalex.org/W2886107974","https://openalex.org/W2963439144","https://openalex.org/W3139866291"],"related_works":["https://openalex.org/W2181667894","https://openalex.org/W2770593030","https://openalex.org/W4281727072","https://openalex.org/W4312219546","https://openalex.org/W3154990682","https://openalex.org/W2171975302","https://openalex.org/W2105223880","https://openalex.org/W1532073221","https://openalex.org/W2377538627","https://openalex.org/W2107220315"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,134],"novel":[3],"adaptive":[4],"denoising":[5,55,97],"algorithm":[6,38,114],"which,":[7],"in":[8],"presence":[9],"of":[10,13,21,34,45,87,118,139],"high":[11],"levels":[12],"noise,":[14],"significantly":[15],"improves":[16],"super-resolution":[17],"and":[18,29,47,75,127],"noise":[19,46,76,108],"robustness":[20,77],"standard":[22,65,102],"frequency":[23,66],"estimation":[24,67],"algorithms,":[25],"such":[26],"as":[27,82,124],"(root-)MUSIC":[28],"ESPRIT.":[30],"During":[31],"the":[32,37,41,53,64,71,88,101,107,128],"course":[33],"its":[35],"operation,":[36],"dynamically":[39],"estimates":[40],"power":[42],"spectral":[43],"density":[44],"adapts":[48],"to":[49,60,69,100,144],"it.":[50],"In":[51],"addition,":[52],"proposed":[54],"front-end":[56],"allows":[57],"signal":[58],"samples":[59],"be":[61],"non-uniform,":[62],"enabling":[63],"algorithms":[68],"achieve":[70],"same":[72,89],"super-resolution,":[73],"accuracy":[74],"for":[78,83,136],"non-uniformly":[79],"sampled":[80,85],"signals":[81,86,142],"uniformly":[84],"sample":[90],"density.":[91],"Extensive":[92],"numerical":[93],"tests":[94],"verify":[95],"superior":[96,143],"performance":[98],"compared":[99],"Cadzow":[103],"method,":[104],"especially":[105],"when":[106],"present":[109],"is":[110],"not":[111],"white.":[112],"Our":[113],"exploits":[115],"salient":[116],"features":[117],"numerically":[119],"robust":[120],"differential":[121],"operators":[122],"known":[123],"chromatic":[125,130],"derivatives":[126],"associated":[129],"approximations":[131],"which":[132,146],"provide":[133],"method":[135],"digital":[137],"processing":[138,145],"continuous":[140],"time":[141],"operates":[147],"directly":[148],"on":[149],"their":[150],"discrete":[151],"samples.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
