{"id":"https://openalex.org/W4313189669","doi":"https://doi.org/10.1109/access.2022.3218052","title":"Denoising Chaotic Signals Using Ensemble Intrinsic Time-Scale Decomposition","display_name":"Denoising Chaotic Signals Using Ensemble Intrinsic Time-Scale Decomposition","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4313189669","doi":"https://doi.org/10.1109/access.2022.3218052"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3218052","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3218052","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09932609.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09932609.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037837119","display_name":"Alexander Voznesensky","orcid":"https://orcid.org/0000-0002-0667-7851"},"institutions":[{"id":"https://openalex.org/I41518628","display_name":"Saint Petersburg State Electrotechnical University","ror":"https://ror.org/023bq8521","country_code":"RU","type":"education","lineage":["https://openalex.org/I41518628"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Alexander Voznesensky","raw_affiliation_strings":["Department of Automation and Control Processes, Saint Petersburg Electrotechnical University “LETI,”, Saint Petersburg, Russia"],"raw_orcid":"https://orcid.org/0000-0002-0667-7851","affiliations":[{"raw_affiliation_string":"Department of Automation and Control Processes, Saint Petersburg Electrotechnical University “LETI,”, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I41518628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075024454","display_name":"\u0414\u0435\u043d\u0438\u0441 \u0411\u0443\u0442\u0443\u0441\u043e\u0432","orcid":"https://orcid.org/0000-0002-8941-4220"},"institutions":[{"id":"https://openalex.org/I41518628","display_name":"Saint Petersburg State Electrotechnical University","ror":"https://ror.org/023bq8521","country_code":"RU","type":"education","lineage":["https://openalex.org/I41518628"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Denis Butusov","raw_affiliation_strings":["Youth Research Institute, Saint Petersburg Electrotechnical University “LETI,”, Saint Petersburg, Russia"],"raw_orcid":"https://orcid.org/0000-0002-8941-4220","affiliations":[{"raw_affiliation_string":"Youth Research Institute, Saint Petersburg Electrotechnical University “LETI,”, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I41518628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083653740","display_name":"Vyacheslav Rybin","orcid":"https://orcid.org/0000-0002-6515-0224"},"institutions":[{"id":"https://openalex.org/I41518628","display_name":"Saint Petersburg State Electrotechnical University","ror":"https://ror.org/023bq8521","country_code":"RU","type":"education","lineage":["https://openalex.org/I41518628"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vyacheslav Rybin","raw_affiliation_strings":["Youth Research Institute, Saint Petersburg Electrotechnical University “LETI,”, Saint Petersburg, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Youth Research Institute, Saint Petersburg Electrotechnical University “LETI,”, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I41518628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054967047","display_name":"Dmitrii Kaplun","orcid":"https://orcid.org/0000-0003-2765-4509"},"institutions":[{"id":"https://openalex.org/I41518628","display_name":"Saint Petersburg State Electrotechnical University","ror":"https://ror.org/023bq8521","country_code":"RU","type":"education","lineage":["https://openalex.org/I41518628"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitry Kaplun","raw_affiliation_strings":["Department of Automation and Control Processes, Saint Petersburg Electrotechnical University “LETI,”, Saint Petersburg, Russia"],"raw_orcid":"https://orcid.org/0000-0003-2765-4509","affiliations":[{"raw_affiliation_string":"Department of Automation and Control Processes, Saint Petersburg Electrotechnical University “LETI,”, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I41518628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055938660","display_name":"\u0422\u0438\u043c\u0443\u0440 \u041a\u0430\u0440\u0438\u043c\u043e\u0432","orcid":"https://orcid.org/0000-0002-9860-8211"},"institutions":[{"id":"https://openalex.org/I41518628","display_name":"Saint Petersburg State Electrotechnical University","ror":"https://ror.org/023bq8521","country_code":"RU","type":"education","lineage":["https://openalex.org/I41518628"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Timur Karimov","raw_affiliation_strings":["Computer-Aided Design Department, Saint Petersburg Electrotechnical University “LETI,”, Saint Petersburg, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer-Aided Design Department, Saint Petersburg Electrotechnical University “LETI,”, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I41518628"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022708886","display_name":"Erivelton G. Nepomuceno","orcid":"https://orcid.org/0000-0002-5841-2193"},"institutions":[{"id":"https://openalex.org/I157286207","display_name":"National University of Ireland, Maynooth","ror":"https://ror.org/048nfjm95","country_code":"IE","type":"education","lineage":["https://openalex.org/I157286207"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Erivelton Nepomuceno","raw_affiliation_strings":["Department of Electronic Engineering, Center for Ocean Energy Research, Maynooth University, Maynooth, Kildare, Dublin 7, Ireland"],"raw_orcid":"https://orcid.org/0000-0002-5841-2193","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Center for Ocean Energy Research, Maynooth University, Maynooth, Kildare, Dublin 7, Ireland","institution_ids":["https://openalex.org/I157286207"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5037837119"],"corresponding_institution_ids":["https://openalex.org/I41518628"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.2514,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79598886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"115767","last_page":"115775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9941999912261963,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9896000027656555,"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/chaotic","display_name":"Chaotic","score":0.817825973033905},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6524661183357239},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.6236945390701294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6054835319519043},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5882764458656311},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5221700668334961},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5041600465774536},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.479692667722702},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.45444685220718384},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4503520727157593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2995610237121582},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2810942828655243},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10149052739143372},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07520219683647156},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0672825276851654}],"concepts":[{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.817825973033905},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6524661183357239},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.6236945390701294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6054835319519043},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5882764458656311},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5221700668334961},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5041600465774536},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.479692667722702},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.45444685220718384},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4503520727157593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2995610237121582},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2810942828655243},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10149052739143372},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07520219683647156},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0672825276851654},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3218052","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3218052","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09932609.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b1f4aed084ad40d3b8966c0e96f5491c","is_oa":true,"landing_page_url":"https://doaj.org/article/b1f4aed084ad40d3b8966c0e96f5491c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 115767-115775 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3218052","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3218052","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09932609.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5057091524","display_name":null,"funder_award_id":"22-19-00573","funder_id":"https://openalex.org/F4320324099","funder_display_name":"Russian Science Foundation"},{"id":"https://openalex.org/G664564618","display_name":null,"funder_award_id":"APQ-00870-17","funder_id":"https://openalex.org/F4320322980","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de Minas Gerais"}],"funders":[{"id":"https://openalex.org/F4320322980","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de Minas Gerais","ror":"https://ror.org/00nc55f03"},{"id":"https://openalex.org/F4320324099","display_name":"Russian Science Foundation","ror":"https://ror.org/03y2gwe85"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313189669.pdf","grobid_xml":"https://content.openalex.org/works/W4313189669.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W2007221293","https://openalex.org/W2013460452","https://openalex.org/W2096125904","https://openalex.org/W2128995499","https://openalex.org/W2147572806","https://openalex.org/W2398714011","https://openalex.org/W2611921435","https://openalex.org/W2770124217","https://openalex.org/W2790874689","https://openalex.org/W2805935323","https://openalex.org/W2901364422","https://openalex.org/W2904854613","https://openalex.org/W2990981085","https://openalex.org/W2995582822","https://openalex.org/W3011005379","https://openalex.org/W3081516037","https://openalex.org/W3152600402","https://openalex.org/W3175033625","https://openalex.org/W3215194561","https://openalex.org/W4224258058","https://openalex.org/W4229366876","https://openalex.org/W4255143522","https://openalex.org/W4255274965","https://openalex.org/W4288518781","https://openalex.org/W4296928088"],"related_works":["https://openalex.org/W3014107421","https://openalex.org/W2363056446","https://openalex.org/W2081563414","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W2380939102","https://openalex.org/W154554909","https://openalex.org/W3109702176","https://openalex.org/W4385545089","https://openalex.org/W4401575680"],"abstract_inverted_index":{"Processing":[0],"chaotic":[1,26,43,62,69,93,136,175],"signals":[2,23,143,176],"is":[3,36,130,171],"a":[4,50,117,147],"complicated":[5],"task":[6],"due":[7],"to":[8,20,119,141,188],"their":[9],"nonlinear":[10],"and":[11,89,108,132,135,167,170,190,193],"non-periodical":[12],"properties.":[13],"Conventional":[14,189],"linear":[15],"filters":[16],"do":[17],"not":[18],"allow":[19],"properly":[21],"denoise":[22],"generated":[24],"by":[25],"systems,":[27],"distorting":[28],"the":[29,33,73,85,98,112,121,153,157,163,181],"carrier":[30],"while":[31],"removing":[32],"noise,":[34,169],"which":[35],"critical":[37],"for":[38],"such":[39],"applications":[40],"as":[41,80,92,116],"coherent":[42],"communications.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48,81,96,149],"propose":[49],"novel":[51],"denoising":[52,122,174],"algorithm,":[53],"called":[54],"Ensemble":[55,75],"Intrinsic":[56],"Time-Scale":[57],"Decomposition":[58,78],"(EITD)":[59],"using":[60,106],"specific":[61,68],"noise":[63,70,137],"generators.":[64],"We":[65,110],"may":[66],"use":[67,111],"generators":[71,138],"in":[72,162,177,186],"known":[74],"Empirical":[76],"Mode":[77],"(EEMD),":[79],"also":[82],"show.":[83],"Considering":[84],"examples":[86],"of":[87,165,173,179,184],"R\u00f6ssler":[88],"Lorenz":[90],"systems":[91],"waveforms":[94],"generators,":[95],"compare":[97],"developed":[99,154],"algorithm":[100],"modifications":[101],"with":[102],"other":[103],"filtration":[104],"algorithms":[105],"ITD":[107,192],"EMD.":[109],"root-mean-square":[113],"error":[114,158],"(RMSE)":[115],"metric":[118],"estimate":[120],"quality.":[123],"Signal-to-noise":[124],"ratio":[125],"(SNR)":[126],"range":[127],"-10...20":[128],"dB":[129],"examined,":[131],"white,":[133],"pink":[134,168],"are":[139],"utilized":[140],"disturb":[142],"under":[144],"study.":[145],"As":[146],"result,":[148],"explicitly":[150],"show":[151],"that":[152],"approach":[155],"provides":[156],"2-10":[159],"times":[160],"less":[161],"case":[164,178],"white":[166],"capable":[172],"all":[180],"considered":[182],"types":[183],"noises,":[185],"contrast":[187],"Iterative":[191],"EMD":[194],"algorithms.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}