{"id":"https://openalex.org/W2108884733","doi":"https://doi.org/10.1109/icassp.2003.1201675","title":"Wavelet estimation of cyclospectra","display_name":"Wavelet estimation of cyclospectra","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W2108884733","doi":"https://doi.org/10.1109/icassp.2003.1201675","mag":"2108884733"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2003.1201675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1201675","pdf_url":null,"source":{"id":"https://openalex.org/S4363608982","display_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","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/A5113527847","display_name":"Sami Touati","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210152518","display_name":"Laboratoire d'Informatique Gaspard-Monge","ror":"https://ror.org/04t50yk91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I142631665","https://openalex.org/I4210145102","https://openalex.org/I4210152518","https://openalex.org/I4210154111","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S. Touati","raw_affiliation_strings":["Institut Gaspard Monge and URA-CNRS 820, Universit\u00e9 Paris-Est Marne la Vall\u00e9e, Marne la Vallee, France","Inst. Gaspard Monge, Univ. de Marne-la-Vallee, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Gaspard Monge and URA-CNRS 820, Universit\u00e9 Paris-Est Marne la Vall\u00e9e, Marne la Vallee, France","institution_ids":["https://openalex.org/I4210152518","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Inst. Gaspard Monge, Univ. de Marne-la-Vallee, France","institution_ids":["https://openalex.org/I4210152518"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062845079","display_name":"Jean\u2010Christophe Pesquet","orcid":"https://orcid.org/0000-0002-5943-8061"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210152518","display_name":"Laboratoire d'Informatique Gaspard-Monge","ror":"https://ror.org/04t50yk91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I142631665","https://openalex.org/I4210145102","https://openalex.org/I4210152518","https://openalex.org/I4210154111","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J.-C. Pesquet","raw_affiliation_strings":["Institut Gaspard Monge and URA-CNRS 820, Universit\u00e9 Paris-Est Marne la Vall\u00e9e, Marne la Vallee, France","Inst. Gaspard Monge, Univ. de Marne-la-Vallee, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Gaspard Monge and URA-CNRS 820, Universit\u00e9 Paris-Est Marne la Vall\u00e9e, Marne la Vallee, France","institution_ids":["https://openalex.org/I4210152518","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Inst. Gaspard Monge, Univ. de Marne-la-Vallee, France","institution_ids":["https://openalex.org/I4210152518"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6143,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61976549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"VI","last_page":"289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9980999827384949,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9907000064849854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.7808330655097961},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7618170380592346},{"id":"https://openalex.org/keywords/cyclostationary-process","display_name":"Cyclostationary process","score":0.6544011831283569},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5449666976928711},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5211410522460938},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5139033794403076},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.509430468082428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4875182807445526},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.48115622997283936},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.47854357957839966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4776014983654022},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4681684672832489},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4594138562679291},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4512847065925598},{"id":"https://openalex.org/keywords/cascade-algorithm","display_name":"Cascade algorithm","score":0.4435168504714966},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.41819724440574646},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.4122133255004883},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39751946926116943},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3034358322620392},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0557686984539032}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7808330655097961},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7618170380592346},{"id":"https://openalex.org/C178351263","wikidata":"https://www.wikidata.org/wiki/Q3922399","display_name":"Cyclostationary process","level":3,"score":0.6544011831283569},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5449666976928711},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5211410522460938},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5139033794403076},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.509430468082428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4875182807445526},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.48115622997283936},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.47854357957839966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4776014983654022},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4681684672832489},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4594138562679291},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4512847065925598},{"id":"https://openalex.org/C88829872","wikidata":"https://www.wikidata.org/wiki/Q5048176","display_name":"Cascade algorithm","level":5,"score":0.4435168504714966},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.41819724440574646},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.4122133255004883},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39751946926116943},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3034358322620392},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0557686984539032},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2003.1201675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1201675","pdf_url":null,"source":{"id":"https://openalex.org/S4363608982","display_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-00621802v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00621802","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc. International Conference on Acoustics, Speech and Signal Processing, Apr 2003, Hong Kong, France. pp.289-292","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1496185851","https://openalex.org/W2044301581","https://openalex.org/W2109733038","https://openalex.org/W2118797057","https://openalex.org/W2166978188"],"related_works":["https://openalex.org/W2059234650","https://openalex.org/W2085792030","https://openalex.org/W2144834862","https://openalex.org/W2362207432","https://openalex.org/W1889651196","https://openalex.org/W3187027916","https://openalex.org/W2391053410","https://openalex.org/W2358271565","https://openalex.org/W2379658089","https://openalex.org/W68308810"],"abstract_inverted_index":{"In":[0,15,63],"this":[1,50,64],"paper,":[2],"we":[3,66],"propose":[4],"wavelet-thresholding":[5,76],"estimators":[6,26,77],"for":[7],"spectrum":[8],"analysis":[9],"of":[10,18,34,45,49,61],"a":[11,72],"zero-mean":[12],"cyclostationary":[13],"signal.":[14],"the":[16,32,35,59],"case":[17],"Gaussian":[19],"regression,":[20],"it":[21],"is":[22,52],"known":[23],"that":[24,75],"wavelet":[25,56],"outperform":[27],"traditional":[28],"linear":[29],"methods":[30,57],"if":[31],"regularity":[33],"function":[36],"to":[37,53,58,79,83],"be":[38],"estimated":[39],"varies":[40],"substantially":[41],"over":[42],"its":[43],"domain":[44],"definition.":[46],"The":[47],"goal":[48],"paper":[51],"extend":[54],"these":[55],"estimation":[60],"cyclospectra.":[62],"context,":[65],"show":[67],"both":[68],"theoretically":[69],"and":[70],"through":[71],"simulation":[73],"example":[74],"lead":[78],"improved":[80],"performance":[81],"compared":[82],"kernel":[84],"methods.":[85]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}