{"id":"https://openalex.org/W4285152642","doi":"https://doi.org/10.1109/tsp.2022.3186832","title":"On Local Chirp Rate Estimation in Noisy Multicomponent Signals: With an Application to Mode Reconstruction","display_name":"On Local Chirp Rate Estimation in Noisy Multicomponent Signals: With an Application to Mode Reconstruction","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285152642","doi":"https://doi.org/10.1109/tsp.2022.3186832"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2022.3186832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3186832","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-03844592","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047287301","display_name":"Nils Laurent","orcid":"https://orcid.org/0000-0002-8440-0006"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Nils Laurent","raw_affiliation_strings":["Jean Kuntzmann Laboratory, University Grenoble Alpes and CNRS 5225, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"Jean Kuntzmann Laboratory, University Grenoble Alpes and CNRS 5225, Grenoble, France","institution_ids":["https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061642952","display_name":"Marcelo A. Colominas","orcid":"https://orcid.org/0000-0003-4418-7527"},"institutions":[{"id":"https://openalex.org/I151201029","display_name":"Consejo Nacional de Investigaciones Cient\u00edficas y T\u00e9cnicas","ror":"https://ror.org/03cqe8w59","country_code":"AR","type":"funder","lineage":["https://openalex.org/I151201029","https://openalex.org/I4210123736","https://openalex.org/I4387155568"]},{"id":"https://openalex.org/I4387152736","display_name":"Instituto de Investigaci\u00f3n y Desarrollo en Bioingenier\u00eda y Bioinform\u00e1tica","ror":"https://ror.org/04ssjv946","country_code":null,"type":"facility","lineage":["https://openalex.org/I151201029","https://openalex.org/I4210123736","https://openalex.org/I4387152736","https://openalex.org/I4387155568","https://openalex.org/I62318804"]}],"countries":["AR"],"is_corresponding":false,"raw_author_name":"Marcelo A. Colominas","raw_affiliation_strings":["Institute for Research and Development in Bioengineering and Bioinformatics, CONICET, Oro Verde, Entre R\u00edos, Argentina","os, Argentina"],"affiliations":[{"raw_affiliation_string":"Institute for Research and Development in Bioengineering and Bioinformatics, CONICET, Oro Verde, Entre R\u00edos, Argentina","institution_ids":["https://openalex.org/I151201029","https://openalex.org/I4387152736"]},{"raw_affiliation_string":"os, Argentina","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052253195","display_name":"Sylvain Meignen","orcid":"https://orcid.org/0000-0002-6713-0593"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sylvain Meignen","raw_affiliation_strings":["Jean Kuntzmann Laboratory, University Grenoble Alpes and CNRS 5225, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"Jean Kuntzmann Laboratory, University Grenoble Alpes and CNRS 5225, Grenoble, France","institution_ids":["https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047287301"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210149092","https://openalex.org/I899635006"],"apc_list":null,"apc_paid":null,"fwci":1.4935,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81543344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"70","issue":null,"first_page":"3429","last_page":"3440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9990000128746033,"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/T10860","display_name":"Speech and Audio Processing","score":0.9990000128746033,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.996399998664856,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/chirp","display_name":"Chirp","score":0.7922111749649048},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7896944880485535},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6354080438613892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5837482213973999},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.5726051330566406},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5655536651611328},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5595951080322266},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5138066411018372},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5058388710021973},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.4364911615848541},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3884941041469574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29395702481269836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2759942412376404},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16216015815734863},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13104134798049927},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10577768087387085},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07545420527458191},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0589577853679657}],"concepts":[{"id":"https://openalex.org/C132794960","wikidata":"https://www.wikidata.org/wiki/Q27304","display_name":"Chirp","level":3,"score":0.7922111749649048},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7896944880485535},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6354080438613892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5837482213973999},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.5726051330566406},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5655536651611328},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5595951080322266},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5138066411018372},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5058388710021973},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.4364911615848541},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3884941041469574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29395702481269836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2759942412376404},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16216015815734863},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13104134798049927},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10577768087387085},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07545420527458191},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0589577853679657},{"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/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2022.3186832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3186832","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03844592v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03844592","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Signal Processing, 2022, 70, pp.3429 - 3440. ⟨10.1109/TSP.2022.3186832⟩","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03844592v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03844592","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Signal Processing, 2022, 70, pp.3429 - 3440. ⟨10.1109/TSP.2022.3186832⟩","raw_type":"Journal articles"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W18046889","https://openalex.org/W98279822","https://openalex.org/W110017167","https://openalex.org/W1544215838","https://openalex.org/W1598517949","https://openalex.org/W1980721798","https://openalex.org/W2054878302","https://openalex.org/W2061441140","https://openalex.org/W2068728923","https://openalex.org/W2090218979","https://openalex.org/W2096684483","https://openalex.org/W2102372511","https://openalex.org/W2115250446","https://openalex.org/W2132984323","https://openalex.org/W2137508792","https://openalex.org/W2140147143","https://openalex.org/W2155025946","https://openalex.org/W2163630665","https://openalex.org/W2508993373","https://openalex.org/W2537260959","https://openalex.org/W2555378055","https://openalex.org/W2603233227","https://openalex.org/W2896066615","https://openalex.org/W2963336936","https://openalex.org/W2964153462","https://openalex.org/W2973528036","https://openalex.org/W2988801081","https://openalex.org/W3011506235","https://openalex.org/W3016491135","https://openalex.org/W3028490874","https://openalex.org/W3034863865","https://openalex.org/W3045299032","https://openalex.org/W3099529305","https://openalex.org/W3112737140","https://openalex.org/W3144281259","https://openalex.org/W4206711804","https://openalex.org/W4255272544","https://openalex.org/W6604471452","https://openalex.org/W6781223481"],"related_works":["https://openalex.org/W2162899405","https://openalex.org/W3113091479","https://openalex.org/W941090075","https://openalex.org/W2044987316","https://openalex.org/W3134374554","https://openalex.org/W2237480245","https://openalex.org/W2075065631","https://openalex.org/W2519167559","https://openalex.org/W4288358396","https://openalex.org/W4311248832"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"our":[3],"goal":[4],"is":[5,19,113],"to":[6,39,79,96,100],"investigate":[7,105],"local":[8,27,57,89],"chirp":[9],"rate":[10],"(CR)":[11],"estimation":[12],"in":[13,31,43,55,84,106,115],"noisy":[14],"multicomponent":[15],"signals.":[16,120],"The":[17],"focus":[18],"put":[20,63],"on":[21,66],"improving":[22],"a":[23,76,85],"specific":[24],"type":[25],"of":[26,46,118],"CR":[28,58,90,111],"estimator":[29,112],"used":[30],"the":[32,44,50,56,64,67,98,109,116],"second":[33],"order":[34],"synchrosqueezing":[35],"transform,":[36],"which":[37],"proves":[38],"be":[40],"very":[41],"inaccurate":[42],"presence":[45],"noise.":[47],"More":[48],"precisely,":[49],"noise":[51],"creates":[52],"spurious":[53],"oscillations":[54],"estimate,":[59],"and":[60,104],"we":[61,74],"first":[62],"emphasis":[65],"terms":[68],"responsible":[69],"for":[70],"these":[71],"oscillations.":[72],"Then":[73],"propose":[75],"novel":[77],"technique":[78],"filter":[80],"them":[81],"out,":[82],"resulting":[83],"much":[86],"more":[87],"accurate":[88],"estimator.":[91],"We":[92],"finally":[93],"show":[94],"how":[95],"use":[97],"latter":[99],"improve":[101],"mode":[102],"reconstruction":[103],"what":[107],"way":[108],"new":[110],"useful":[114],"context":[117],"voice":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}