{"id":"https://openalex.org/W2072202966","doi":"https://doi.org/10.1142/s1793536910000410","title":"NOISE-MODULATED EMPIRICAL MODE DECOMPOSITION","display_name":"NOISE-MODULATED EMPIRICAL MODE DECOMPOSITION","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2072202966","doi":"https://doi.org/10.1142/s1793536910000410","mag":"2072202966"},"language":"en","primary_location":{"id":"doi:10.1142/s1793536910000410","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793536910000410","pdf_url":null,"source":{"id":"https://openalex.org/S16439242","display_name":"Advances in Adaptive Data Analysis","issn_l":"1793-5369","issn":["1793-5369","1793-7175"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Adaptive Data Analysis","raw_type":"journal-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/A5009327714","display_name":"Po\u2010Hsiang Tsui","orcid":"https://orcid.org/0000-0002-5604-1800"},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"PO-HSIANG TSUI","raw_affiliation_strings":["Division of Mechanics, Research Center for Applied Sciences, Academia Sinica, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Division of Mechanics, Research Center for Applied Sciences, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007018169","display_name":"Chien-Cheng Chang","orcid":"https://orcid.org/0000-0002-5095-1205"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]},{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"CHIEN-CHENG CHANG","raw_affiliation_strings":["Division of Mechanics, Research Center for Applied Sciences, Academia Sinica, Taipei, Taiwan","Institute of Applied Mechanics, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Division of Mechanics, Research Center for Applied Sciences, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I84653119"]},{"raw_affiliation_string":"Institute of Applied Mechanics, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110969892","display_name":"Norden E. Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"NORDEN E. HUANG","raw_affiliation_strings":["Research Center for Adaptive Data Analysis, National Central University, Chung Li, Taiwan"],"affiliations":[{"raw_affiliation_string":"Research Center for Adaptive Data Analysis, National Central University, Chung Li, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009327714"],"corresponding_institution_ids":["https://openalex.org/I84653119"],"apc_list":null,"apc_paid":null,"fwci":2.1678,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.89279981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"02","issue":"01","first_page":"25","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.970300018787384,"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/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.9430000185966492,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9758472442626953},{"id":"https://openalex.org/keywords/intermittency","display_name":"Intermittency","score":0.6500885486602783},{"id":"https://openalex.org/keywords/instantaneous-phase","display_name":"Instantaneous phase","score":0.6182084083557129},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.5776445269584656},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5758833885192871},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.5529414415359497},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5388723015785217},{"id":"https://openalex.org/keywords/hilbert-transform","display_name":"Hilbert transform","score":0.5034937262535095},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.49090152978897095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48673510551452637},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.47578728199005127},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.41710084676742554},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4058343470096588},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.33542951941490173},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33460623025894165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32000499963760376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24807974696159363},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21744930744171143},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15562283992767334},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.11891263723373413},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09789806604385376},{"id":"https://openalex.org/keywords/turbulence","display_name":"Turbulence","score":0.07632333040237427}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.9758472442626953},{"id":"https://openalex.org/C2780388094","wikidata":"https://www.wikidata.org/wiki/Q1666248","display_name":"Intermittency","level":3,"score":0.6500885486602783},{"id":"https://openalex.org/C137798554","wikidata":"https://www.wikidata.org/wiki/Q6038852","display_name":"Instantaneous phase","level":3,"score":0.6182084083557129},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.5776445269584656},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5758833885192871},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.5529414415359497},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5388723015785217},{"id":"https://openalex.org/C28799612","wikidata":"https://www.wikidata.org/wiki/Q685437","display_name":"Hilbert transform","level":3,"score":0.5034937262535095},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.49090152978897095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48673510551452637},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.47578728199005127},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.41710084676742554},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4058343470096588},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.33542951941490173},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33460623025894165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32000499963760376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24807974696159363},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21744930744171143},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15562283992767334},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.11891263723373413},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09789806604385376},{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"score":0.07632333040237427},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1793536910000410","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793536910000410","pdf_url":null,"source":{"id":"https://openalex.org/S16439242","display_name":"Advances in Adaptive Data Analysis","issn_l":"1793-5369","issn":["1793-5369","1793-7175"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Adaptive Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320321041","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784"},{"id":"https://openalex.org/F4320332393","display_name":"Federal Highway Administration","ror":"https://ror.org/0473rr271"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2007221293","https://openalex.org/W2018474140","https://openalex.org/W2028497691","https://openalex.org/W2047752208","https://openalex.org/W2098395403","https://openalex.org/W2104745188","https://openalex.org/W2106665847","https://openalex.org/W2117506585","https://openalex.org/W2120390927"],"related_works":["https://openalex.org/W1963866720","https://openalex.org/W4242644833","https://openalex.org/W2118564157","https://openalex.org/W2384389642","https://openalex.org/W2002496381","https://openalex.org/W2356737465","https://openalex.org/W2107880197","https://openalex.org/W2150546814","https://openalex.org/W2368562860","https://openalex.org/W1986719249"],"abstract_inverted_index":{"The":[0,38,164],"empirical":[1],"mode":[2,25,48,131],"decomposition":[3],"(EMD)":[4],"is":[5,17],"the":[6,9,15,30,35,53,57,69,77,80,83,88,98,123,139,144,182],"core":[7],"of":[8,60,90,93,97,104,180],"Hilbert\u2013Huang":[10],"transform":[11],"(HHT).":[12],"In":[13,109],"HHT,":[14],"EMD":[16,39,71,125],"responsible":[18],"for":[19,28],"decomposing":[20],"a":[21,158],"signal":[22,54,99,142],"into":[23],"intrinsic":[24],"functions":[26],"(IMFs)":[27],"calculating":[29],"instantaneous":[31],"frequency":[32],"and":[33,117,134,168,177],"eventually":[34],"Hilbert":[36],"spectrum.":[37],"method":[40],"as":[41,87,122,157],"originally":[42],"proposed,":[43],"however,":[44],"has":[45],"an":[46,91,115],"annoying":[47],"mixing":[49,136],"problem":[50],"caused":[51],"by":[52,137],"intermittency,":[55],"making":[56],"physical":[58],"interpretation":[59],"each":[61,95],"IMF":[62,85],"component":[63],"unclear.":[64],"To":[65],"resolve":[66],"this":[67,110,173],"problem,":[68],"ensemble":[70,92],"(EEMD)":[72],"was":[73],"subsequently":[74],"developed.":[75],"Unlike":[76],"conventional":[78],"EMD,":[79],"EEMD":[81,120],"defines":[82],"true":[84],"components":[86],"mean":[89],"trials,":[94],"consisting":[96],"with":[100],"added":[101],"white":[102],"noise":[103],"finite,":[105],"not":[106,129],"infinitesimal,":[107],"amplitude.":[108],"study,":[111],"we":[112],"further":[113],"proposed":[114],"extension":[116],"alternative":[118],"to":[119],"designated":[121],"noise-modulated":[124],"(NEMD).":[126],"NEMD":[127,154,183],"does":[128],"eliminate":[130],"but":[132,143],"intensify":[133],"amplify":[135],"suppressing":[138],"small":[140],"amplitude":[141,162],"larger":[145],"signals":[146],"would":[147],"be":[148],"preserved":[149],"without":[150],"waveform":[151],"deformation.":[152],"Thus,":[153],"may":[155],"serve":[156],"new":[159],"adaptive":[160],"threshold":[161],"filtering.":[163],"principle,":[165],"algorithm,":[166],"simulations,":[167],"applications":[169],"are":[170,184],"presented":[171],"in":[172],"paper.":[174],"Some":[175],"limitations":[176],"additional":[178],"considerations":[179],"using":[181],"also":[185],"discussed.":[186]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}