{"id":"https://openalex.org/W4372348434","doi":"https://doi.org/10.1109/icassp49357.2023.10095188","title":"Sinusoidal Frequency Estimation by Gradient Descent","display_name":"Sinusoidal Frequency Estimation by Gradient Descent","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372348434","doi":"https://doi.org/10.1109/icassp49357.2023.10095188"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 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/A5087250985","display_name":"Ben Hayes","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ben Hayes","raw_affiliation_strings":["Queen Mary University of London,Centre for Digital Music","Centre for Digital Music, Queen Mary University of London"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,Centre for Digital Music","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Centre for Digital Music, Queen Mary University of London","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083980012","display_name":"Charalampos Saitis","orcid":"https://orcid.org/0000-0002-6860-9723"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Charalampos Saitis","raw_affiliation_strings":["Queen Mary University of London,Centre for Digital Music","Centre for Digital Music, Queen Mary University of London"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,Centre for Digital Music","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Centre for Digital Music, Queen Mary University of London","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032485940","display_name":"Gy\u00f6rgy Fazekas","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gy\u00f6rgy Fazekas","raw_affiliation_strings":["Queen Mary University of London,Centre for Digital Music","Centre for Digital Music, Queen Mary University of London"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,Centre for Digital Music","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Centre for Digital Music, Queen Mary University of London","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087250985"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":2.5983,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89158754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9961000084877014,"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"}},"topics":[{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9961000084877014,"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/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.995199978351593,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9918000102043152,"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/gradient-descent","display_name":"Gradient descent","score":0.7590210437774658},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.7580410242080688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5414320230484009},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5291265249252319},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4909398853778839},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.48467186093330383},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.47284844517707825},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.4476104974746704},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4347516596317291},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4334668815135956},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4334490895271301},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36583250761032104},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35532650351524353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16669461131095886},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09832680225372314},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09225329756736755}],"concepts":[{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.7590210437774658},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.7580410242080688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5414320230484009},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5291265249252319},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4909398853778839},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.48467186093330383},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.47284844517707825},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.4476104974746704},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4347516596317291},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4334668815135956},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4334490895271301},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36583250761032104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35532650351524353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16669461131095886},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09832680225372314},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09225329756736755},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/94885","is_oa":false,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/94885","pdf_url":null,"source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320314731","display_name":"UK Research and Innovation","ror":"https://ror.org/001aqnf71"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W250076511","https://openalex.org/W1977322421","https://openalex.org/W2001188690","https://openalex.org/W2001729062","https://openalex.org/W2114528197","https://openalex.org/W2124348301","https://openalex.org/W2141358961","https://openalex.org/W2148723353","https://openalex.org/W2149460029","https://openalex.org/W2739230514","https://openalex.org/W2801107318","https://openalex.org/W3000389243","https://openalex.org/W3081922511","https://openalex.org/W3095617022","https://openalex.org/W3126454510","https://openalex.org/W3160553598","https://openalex.org/W3206894358","https://openalex.org/W4285149345","https://openalex.org/W4291960990","https://openalex.org/W4307977691","https://openalex.org/W4362724041","https://openalex.org/W6771763809","https://openalex.org/W6784488536","https://openalex.org/W6798451072","https://openalex.org/W6842676699"],"related_works":["https://openalex.org/W2115886818","https://openalex.org/W3118431319","https://openalex.org/W3004700632","https://openalex.org/W2466106906","https://openalex.org/W3177888558","https://openalex.org/W3027810930","https://openalex.org/W2069187387","https://openalex.org/W4206903459","https://openalex.org/W2754816816","https://openalex.org/W4366280654"],"abstract_inverted_index":{"Sinusoidal":[0],"parameter":[1,19],"estimation":[2,78],"is":[3,31],"a":[4,62,70,84],"fundamental":[5],"task":[6],"in":[7,61],"applications":[8],"from":[9],"spectral":[10],"analysis":[11],"to":[12,51],"time-series":[13],"forecasting.":[14],"Estimating":[15],"the":[16,28,53,80],"sinusoidal":[17,74,103],"frequency":[18,54,75],"by":[20],"gradient":[21],"descent":[22],"is,":[23],"however,":[24],"often":[25],"impossible":[26],"as":[27],"error":[29],"function":[30],"non-convex":[32],"and":[33,76,88],"densely":[34],"populated":[35],"with":[36],"local":[37],"minima.":[38],"The":[39],"growing":[40],"family":[41],"of":[42,55,65,83,97],"differentiable":[43],"signal":[44],"processing":[45],"methods":[46],"has":[47],"therefore":[48],"been":[49],"unable":[50],"tune":[52],"oscillatory":[56],"components,":[57],"preventing":[58],"their":[59],"use":[60],"broad":[63],"range":[64],"applications.":[66],"This":[67],"work":[68],"presents":[69],"technique":[71],"for":[72,101],"joint":[73],"amplitude":[77],"using":[79],"Wirtinger":[81],"derivatives":[82],"complex":[85],"exponential":[86],"surrogate":[87],"any":[89],"first":[90],"order":[91],"gradient-based":[92],"optimizer,":[93],"enabling":[94],"end-to-end":[95],"training":[96],"neural":[98],"network":[99],"controllers":[100],"unconstrained":[102],"models.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
