{"id":"https://openalex.org/W2913293345","doi":"https://doi.org/10.3390/e21020135","title":"An Optimal Resonant Frequency Band Feature Extraction Method Based on Empirical Wavelet Transform","display_name":"An Optimal Resonant Frequency Band Feature Extraction Method Based on Empirical Wavelet Transform","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2913293345","doi":"https://doi.org/10.3390/e21020135","mag":"2913293345","pmid":"https://pubmed.ncbi.nlm.nih.gov/33266851"},"language":"en","primary_location":{"id":"doi:10.3390/e21020135","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21020135","pdf_url":"https://www.mdpi.com/1099-4300/21/2/135/pdf?version=1551340584","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/1099-4300/21/2/135/pdf?version=1551340584","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081407463","display_name":"Zezhong Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149647","display_name":"Yunnan Metallurgical Group (China)","ror":"https://ror.org/050wwwp73","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210149647"]},{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zezhong Feng","raw_affiliation_strings":["Engineering Research Center for Mineral Pipeline Transportation of Yunnan Province, Kunming 650500, China","Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center for Mineral Pipeline Transportation of Yunnan Province, Kunming 650500, China","institution_ids":["https://openalex.org/I4210149647"]},{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071776082","display_name":"Jun Ma","orcid":"https://orcid.org/0000-0002-7531-7833"},"institutions":[{"id":"https://openalex.org/I4210149647","display_name":"Yunnan Metallurgical Group (China)","ror":"https://ror.org/050wwwp73","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210149647"]},{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Ma","raw_affiliation_strings":["Engineering Research Center for Mineral Pipeline Transportation of Yunnan Province, Kunming 650500, China","Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center for Mineral Pipeline Transportation of Yunnan Province, Kunming 650500, China","institution_ids":["https://openalex.org/I4210149647"]},{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382667","display_name":"Xiaodong Wang","orcid":"https://orcid.org/0000-0002-4533-6734"},"institutions":[{"id":"https://openalex.org/I4210149647","display_name":"Yunnan Metallurgical Group (China)","ror":"https://ror.org/050wwwp73","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210149647"]},{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Wang","raw_affiliation_strings":["Engineering Research Center for Mineral Pipeline Transportation of Yunnan Province, Kunming 650500, China","Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center for Mineral Pipeline Transportation of Yunnan Province, Kunming 650500, China","institution_ids":["https://openalex.org/I4210149647"]},{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103268881","display_name":"Jiande Wu","orcid":"https://orcid.org/0000-0003-2780-4925"},"institutions":[{"id":"https://openalex.org/I4210149647","display_name":"Yunnan Metallurgical Group (China)","ror":"https://ror.org/050wwwp73","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210149647"]},{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiande Wu","raw_affiliation_strings":["Engineering Research Center for Mineral Pipeline Transportation of Yunnan Province, Kunming 650500, China","Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center for Mineral Pipeline Transportation of Yunnan Province, Kunming 650500, China","institution_ids":["https://openalex.org/I4210149647"]},{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076881964","display_name":"Chengjiang Zhou","orcid":"https://orcid.org/0000-0003-4218-105X"},"institutions":[{"id":"https://openalex.org/I4210149647","display_name":"Yunnan Metallurgical Group (China)","ror":"https://ror.org/050wwwp73","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210149647"]},{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengjiang Zhou","raw_affiliation_strings":["Engineering Research Center for Mineral Pipeline Transportation of Yunnan Province, Kunming 650500, China","Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center for Mineral Pipeline Transportation of Yunnan Province, Kunming 650500, China","institution_ids":["https://openalex.org/I4210149647"]},{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5071776082"],"corresponding_institution_ids":["https://openalex.org/I10660446","https://openalex.org/I4210149647"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.6747,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68993092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"21","issue":"2","first_page":"135","last_page":"135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9944000244140625,"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"}},{"id":"https://openalex.org/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/negentropy","display_name":"Negentropy","score":0.6777933835983276},{"id":"https://openalex.org/keywords/demodulation","display_name":"Demodulation","score":0.5189694762229919},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5129079818725586},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5094757676124573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4890337884426117},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.47990238666534424},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.47398653626441956},{"id":"https://openalex.org/keywords/frequency-band","display_name":"Frequency band","score":0.43841347098350525},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43660515546798706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4271794557571411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4114891290664673},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36233505606651306},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34518030285835266},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.34078678488731384},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17282646894454956},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1393704116344452},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.13384801149368286},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.1082656979560852}],"concepts":[{"id":"https://openalex.org/C118346863","wikidata":"https://www.wikidata.org/wiki/Q252552","display_name":"Negentropy","level":3,"score":0.6777933835983276},{"id":"https://openalex.org/C195251586","wikidata":"https://www.wikidata.org/wiki/Q1185939","display_name":"Demodulation","level":3,"score":0.5189694762229919},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5129079818725586},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5094757676124573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4890337884426117},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.47990238666534424},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.47398653626441956},{"id":"https://openalex.org/C2778116611","wikidata":"https://www.wikidata.org/wiki/Q25110567","display_name":"Frequency band","level":3,"score":0.43841347098350525},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43660515546798706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4271794557571411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4114891290664673},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36233505606651306},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34518030285835266},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.34078678488731384},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17282646894454956},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1393704116344452},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.13384801149368286},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.1082656979560852},{"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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e21020135","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21020135","pdf_url":"https://www.mdpi.com/1099-4300/21/2/135/pdf?version=1551340584","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:33266851","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33266851","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:doaj.org/article:28c86d13e2254e519910a05c117cac08","is_oa":true,"landing_page_url":"https://doaj.org/article/28c86d13e2254e519910a05c117cac08","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 21, Iss 2, p 135 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/21/2/135/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/e21020135","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","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7514622","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7514622","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"}],"best_oa_location":{"id":"doi:10.3390/e21020135","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21020135","pdf_url":"https://www.mdpi.com/1099-4300/21/2/135/pdf?version=1551340584","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":[{"id":"https://openalex.org/G7419937956","display_name":null,"funder_award_id":"Nos. 51765022 and 61663017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2913293345.pdf","grobid_xml":"https://content.openalex.org/works/W2913293345.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W243674440","https://openalex.org/W427289305","https://openalex.org/W950631084","https://openalex.org/W1793209788","https://openalex.org/W1976479130","https://openalex.org/W1984516393","https://openalex.org/W2007221293","https://openalex.org/W2019505419","https://openalex.org/W2019900743","https://openalex.org/W2046674752","https://openalex.org/W2093849451","https://openalex.org/W2098395403","https://openalex.org/W2114723491","https://openalex.org/W2117612778","https://openalex.org/W2133155955","https://openalex.org/W2207789808","https://openalex.org/W2275970519","https://openalex.org/W2508058182","https://openalex.org/W2560760489","https://openalex.org/W2590288880","https://openalex.org/W2603225712","https://openalex.org/W2604305583","https://openalex.org/W2604569796","https://openalex.org/W2758113345","https://openalex.org/W2759531725","https://openalex.org/W2765975552","https://openalex.org/W2807657100","https://openalex.org/W2810598141","https://openalex.org/W2891836028","https://openalex.org/W2898311111","https://openalex.org/W2901420384","https://openalex.org/W2903854667","https://openalex.org/W2907460488","https://openalex.org/W2995567671","https://openalex.org/W6725252559"],"related_works":["https://openalex.org/W2767731115","https://openalex.org/W1998105760","https://openalex.org/W1972811221","https://openalex.org/W2049202975","https://openalex.org/W2046551244","https://openalex.org/W355849711","https://openalex.org/W2102824076","https://openalex.org/W3014800566","https://openalex.org/W2020668682","https://openalex.org/W2810598141"],"abstract_inverted_index":{"The":[0,189],"Empirical":[1],"Wavelet":[2],"Transform":[3],"(EWT),":[4],"which":[5,73],"has":[6,17],"a":[7,68,97,177],"reliable":[8],"mathematical":[9],"derivation":[10],"process":[11],"and":[12,27,138,158],"can":[13,202],"adaptively":[14],"decompose":[15],"signals,":[16],"been":[18],"widely":[19],"used":[20,149,166],"in":[21,54,208],"mechanical":[22],"applications,":[23],"EEG,":[24],"seismic":[25],"detection":[26],"other":[28],"fields.":[29],"However,":[30],"the":[31,35,42,46,55,58,65,81,88,111,116,124,132,145,152,159,162,168,173,185,199,205,209],"EWT":[32,107],"still":[33],"faces":[34],"problem":[36],"of":[37,70,155,172,192],"how":[38],"to":[39,79,106,122,150],"optimally":[40],"divide":[41,64],"Fourier":[43],"spectrum":[44,66,112],"during":[45],"application":[47],"process.":[48],"When":[49],"there":[50],"is":[51,113,148,165,182],"noise":[52,195],"interference":[53],"analyzed":[56],"signal,":[57],"parameterless":[59,117],"scale-space":[60,119],"histogram":[61,120],"method":[62,98,121,201],"will":[63,74],"into":[67],"variety":[69],"narrow":[71],"bands,":[72],"weaken":[75],"or":[76],"even":[77],"fail":[78],"extract":[80],"fault":[82,174],"modulation":[83],"information.":[84,175],"To":[85],"accurately":[86],"determine":[87],"optimal":[89],"resonant":[90,179],"demodulation":[91,187],"frequency":[92,170,180],"band,":[93],"this":[94],"paper":[95],"proposes":[96],"for":[99,184],"applying":[100],"Adaptive":[101],"Average":[102,133],"Spectral":[103,134],"Negentropy":[104,135],"(AASN)":[105],"analysis":[108],"(AEWT):":[109],"Firstly,":[110],"segmented":[114],"by":[115,129],"clustering":[118],"obtain":[123],"corresponding":[125],"empirical":[126],"mode.":[127],"Then,":[128],"comprehensively":[130],"considering":[131],"(ASN)":[136],"index":[137,141],"correlation":[139,146],"coefficient":[140,147],"on":[142],"each":[143,156],"mode,":[144,157],"adjust":[151],"ASN":[153],"value":[154,164],"IMF":[160],"with":[161],"highest":[163],"as":[167],"center":[169],"band":[171,181],"Finally,":[176],"new":[178],"reconstructed":[183],"envelope":[186],"analysis.":[188],"experimental":[190],"results":[191],"different":[193],"background":[194],"intensities":[196],"show":[197],"that":[198],"proposed":[200],"effectively":[203],"detect":[204],"repetitive":[206],"transients":[207],"signal.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
