{"id":"https://openalex.org/W3217328917","doi":"https://doi.org/10.3390/e23121567","title":"Enhanced Partial Discharge Signal Denoising Using Dispersion Entropy Optimized Variational Mode Decomposition","display_name":"Enhanced Partial Discharge Signal Denoising Using Dispersion Entropy Optimized Variational Mode Decomposition","publication_year":2021,"publication_date":"2021-11-25","ids":{"openalex":"https://openalex.org/W3217328917","doi":"https://doi.org/10.3390/e23121567","mag":"3217328917","pmid":"https://pubmed.ncbi.nlm.nih.gov/34945873"},"language":"en","primary_location":{"id":"doi:10.3390/e23121567","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23121567","pdf_url":"https://www.mdpi.com/1099-4300/23/12/1567/pdf?version=1637828258","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/23/12/1567/pdf?version=1637828258","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085024258","display_name":"Ragavesh Dhandapani","orcid":"https://orcid.org/0000-0003-1526-4765"},"institutions":[{"id":"https://openalex.org/I312958679","display_name":"National University of Science and Technology","ror":"https://ror.org/02kesvt12","country_code":"ZW","type":"education","lineage":["https://openalex.org/I312958679"]}],"countries":["ZW"],"is_corresponding":false,"raw_author_name":"Ragavesh Dhandapani","raw_affiliation_strings":["Department of Electrical and Communication Engineering, College of Engineering, National University of Science & Technology, Seeb P.O. Box 2322, Oman"],"raw_orcid":"https://orcid.org/0000-0003-1526-4765","affiliations":[{"raw_affiliation_string":"Department of Electrical and Communication Engineering, College of Engineering, National University of Science & Technology, Seeb P.O. Box 2322, Oman","institution_ids":["https://openalex.org/I312958679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010827986","display_name":"Imene Mitiche","orcid":"https://orcid.org/0000-0001-9169-835X"},"institutions":[{"id":"https://openalex.org/I195939026","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235","country_code":"GB","type":"education","lineage":["https://openalex.org/I195939026"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Imene Mitiche","raw_affiliation_strings":["Department of Computing, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK"],"raw_orcid":"https://orcid.org/0000-0001-9169-835X","affiliations":[{"raw_affiliation_string":"Department of Computing, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK","institution_ids":["https://openalex.org/I195939026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075309493","display_name":"Scott G. McMeekin","orcid":"https://orcid.org/0000-0002-1221-1193"},"institutions":[{"id":"https://openalex.org/I195939026","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235","country_code":"GB","type":"education","lineage":["https://openalex.org/I195939026"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Scott McMeekin","raw_affiliation_strings":["School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK"],"raw_orcid":"https://orcid.org/0000-0002-1221-1193","affiliations":[{"raw_affiliation_string":"School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK","institution_ids":["https://openalex.org/I195939026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030268418","display_name":"Venkateswara Sarma Mallela","orcid":null},"institutions":[{"id":"https://openalex.org/I312958679","display_name":"National University of Science and Technology","ror":"https://ror.org/02kesvt12","country_code":"ZW","type":"education","lineage":["https://openalex.org/I312958679"]}],"countries":["ZW"],"is_corresponding":false,"raw_author_name":"Venkateswara Sarma Mallela","raw_affiliation_strings":["Department of Electrical and Communication Engineering, College of Engineering, National University of Science & Technology, Seeb P.O. Box 2322, Oman"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Communication Engineering, College of Engineering, National University of Science & Technology, Seeb P.O. Box 2322, Oman","institution_ids":["https://openalex.org/I312958679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001283656","display_name":"Gordon Morison","orcid":"https://orcid.org/0000-0002-3282-5248"},"institutions":[{"id":"https://openalex.org/I195939026","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235","country_code":"GB","type":"education","lineage":["https://openalex.org/I195939026"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Gordon Morison","raw_affiliation_strings":["Department of Computing, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK"],"raw_orcid":"https://orcid.org/0000-0002-3282-5248","affiliations":[{"raw_affiliation_string":"Department of Computing, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK","institution_ids":["https://openalex.org/I195939026"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001283656"],"corresponding_institution_ids":["https://openalex.org/I195939026"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":0.8684,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.69364462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"23","issue":"12","first_page":"1567","last_page":"1567"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10511","display_name":"High voltage insulation and dielectric phenomena","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10511","display_name":"High voltage insulation and dielectric phenomena","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9850999712944031,"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/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.7196353673934937},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7034038305282593},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5172355771064758},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5019373893737793},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4869895875453949},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4641875624656677},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43548956513404846},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.4242761731147766},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.41268640756607056},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38298484683036804},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37484079599380493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3220069408416748},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.24056753516197205},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14645689725875854},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11300510168075562}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.7196353673934937},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7034038305282593},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5172355771064758},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5019373893737793},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4869895875453949},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4641875624656677},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43548956513404846},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4242761731147766},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.41268640756607056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38298484683036804},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37484079599380493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3220069408416748},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.24056753516197205},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14645689725875854},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11300510168075562},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/e23121567","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23121567","pdf_url":"https://www.mdpi.com/1099-4300/23/12/1567/pdf?version=1637828258","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:34945873","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34945873","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:researchonline.gcu.ac.uk:openaire/c6ae4536-9863-4844-8cb1-f1936ebde326","is_oa":true,"landing_page_url":"https://researchonline.gcu.ac.uk/en/publications/c6ae4536-9863-4844-8cb1-f1936ebde326","pdf_url":null,"source":{"id":"https://openalex.org/S7407055385","display_name":"ResearchOnline","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","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Dhandapani, R, Mitiche, I, McMeekin, S, Sarma Mallela, V & Morison, G 2021, 'Enhanced partial discharge signal denoising using dispersion entropy optimized variational mode decomposition', Entropy, vol. 23, no. 12, 1567. https://doi.org/10.3390/e23121567","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8700104","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8700104","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:183282f2501a435e931a18abb67bc34f","is_oa":true,"landing_page_url":"https://doaj.org/article/183282f2501a435e931a18abb67bc34f","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":"Entropy, Vol 23, Iss 12, p 1567 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/23/12/1567/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e23121567","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 23; Issue 12; Pages: 1567","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e23121567","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23121567","pdf_url":"https://www.mdpi.com/1099-4300/23/12/1567/pdf?version=1637828258","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311695","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3217328917.pdf","grobid_xml":"https://content.openalex.org/works/W3217328917.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1217776722","https://openalex.org/W1974658764","https://openalex.org/W1988917938","https://openalex.org/W1995875735","https://openalex.org/W2000982976","https://openalex.org/W2007221293","https://openalex.org/W2013046778","https://openalex.org/W2014683958","https://openalex.org/W2033367476","https://openalex.org/W2044805410","https://openalex.org/W2050023599","https://openalex.org/W2090484961","https://openalex.org/W2101117369","https://openalex.org/W2103559027","https://openalex.org/W2120390927","https://openalex.org/W2121735876","https://openalex.org/W2125056386","https://openalex.org/W2139738865","https://openalex.org/W2146227109","https://openalex.org/W2147819003","https://openalex.org/W2161227676","https://openalex.org/W2194077082","https://openalex.org/W2320894145","https://openalex.org/W2333775360","https://openalex.org/W2363608638","https://openalex.org/W2607672988","https://openalex.org/W2736770158","https://openalex.org/W2766124620","https://openalex.org/W2782125881","https://openalex.org/W2787787377","https://openalex.org/W2796288942","https://openalex.org/W2883143193","https://openalex.org/W2887002979","https://openalex.org/W2902712891","https://openalex.org/W2909486758","https://openalex.org/W2915736731","https://openalex.org/W2942803188","https://openalex.org/W3013940847","https://openalex.org/W3087269484","https://openalex.org/W3135601218","https://openalex.org/W4292363360","https://openalex.org/W6736931577"],"related_works":["https://openalex.org/W2052151910","https://openalex.org/W4384026473","https://openalex.org/W4380484386","https://openalex.org/W4306148638","https://openalex.org/W2092619848","https://openalex.org/W2514867034","https://openalex.org/W4255695413","https://openalex.org/W3128628470","https://openalex.org/W2160836994","https://openalex.org/W3034845153"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,13,40,73],"new":[4],"approach":[5,186],"for":[6,131],"denoising":[7,152],"Partial":[8],"Discharge":[9],"(PD)":[10],"signals":[11],"using":[12,114],"hybrid":[14],"algorithm":[15],"combining":[16],"the":[17,30,45,61,66,97,102,117,124,138,144,150,180,184,192],"adaptive":[18],"decomposition":[19],"technique":[20,35,71],"with":[21],"Entropy":[22,142],"measures":[23],"and":[24,92,116,169,179,201],"Group-Sparse":[25],"Total":[26],"Variation":[27],"(GSTV).":[28],"Initially,":[29],"Empirical":[31],"Mode":[32,47,68],"Decomposition":[33,69],"(EMD)":[34],"is":[36,56,133,154,187],"applied":[37],"to":[38,59,122,176,189],"decompose":[39],"noisy":[41,74],"sensor":[42,75],"data":[43,76],"into":[44,77],"Intrinsic":[46],"Functions":[48],"(IMFs),":[49],"Mutual":[50],"Information":[51],"(MI)":[52],"analysis":[53],"between":[54,99],"IMFs":[55,83],"carried":[57],"out":[58],"set":[60],"mode":[62],"length":[63],"K.":[64],"Then,":[65],"Variational":[67],"(VMD)":[70],"decomposes":[72],"K":[78],"number":[79],"of":[80,140,143,149,158],"Band":[81],"Limited":[82],"(BLIMFs).":[84],"The":[85,127,147],"BLIMFs":[86,94,104,111,119],"are":[87,105,112,120,173,174],"separated":[88],"as":[89,162],"noise,":[90],"noise-dominant,":[91],"signal-dominant":[93],"by":[95],"calculating":[96],"MI":[98],"BLIMFs.":[100,146],"Eventually,":[101],"noise":[103],"discarded":[106],"from":[107],"further":[108],"processing,":[109],"noise-dominant":[110,145],"denoised":[113],"GSTV,":[115],"signal":[118],"added":[121],"reconstruct":[123],"output":[125],"signal.":[126],"regularization":[128],"parameter":[129],"\u03bb":[130],"GSTV":[132],"automatically":[134],"selected":[135],"based":[136],"on":[137],"values":[139],"Dispersion":[141],"effectiveness":[148],"proposed":[151,185],"method":[153],"evaluated":[155],"in":[156],"terms":[157],"performance":[159],"metrics":[160],"such":[161],"Signal-to-Noise":[163],"Ratio,":[164],"Root":[165],"Mean":[166],"Square":[167],"Error,":[168],"Correlation":[170],"Coefficient,":[171],"which":[172],"compared":[175],"EMD":[177],"variants,":[178],"results":[181],"demonstrated":[182],"that":[183],"able":[188],"effectively":[190],"denoise":[191],"synthetic":[193],"Blocks,":[194],"Bumps,":[195],"Doppler,":[196],"Heavy":[197],"Sine,":[198],"PD":[199,203],"pulses":[200],"real":[202],"signals.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}