{"id":"https://openalex.org/W1974086622","doi":"https://doi.org/10.1142/s1793536910000471","title":"THE TIME-DEPENDENT INTRINSIC CORRELATION BASED ON THE EMPIRICAL MODE DECOMPOSITION","display_name":"THE TIME-DEPENDENT INTRINSIC CORRELATION BASED ON THE EMPIRICAL MODE DECOMPOSITION","publication_year":2010,"publication_date":"2010-04-01","ids":{"openalex":"https://openalex.org/W1974086622","doi":"https://doi.org/10.1142/s1793536910000471","mag":"1974086622"},"language":"en","primary_location":{"id":"doi:10.1142/s1793536910000471","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793536910000471","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/A5024291314","display_name":"Xianyao Chen","orcid":"https://orcid.org/0000-0001-9825-5295"},"institutions":[{"id":"https://openalex.org/I4210114556","display_name":"First Institute of Oceanography","ror":"https://ror.org/01y34t753","country_code":"CN","type":"facility","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210114556","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"XIANYAO CHEN","raw_affiliation_strings":["First Institute of Oceanography, State Oceanic Administration, Qingdao, Shandong 266061, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"First Institute of Oceanography, State Oceanic Administration, Qingdao, Shandong 266061, China","institution_ids":["https://openalex.org/I4210114556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087187626","display_name":"Zhaohua Wu","orcid":"https://orcid.org/0000-0003-1660-0724"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"ZHAOHUA WU","raw_affiliation_strings":["Department of Meteorology, Florida State University, Tallahassee, FL 32306-4520, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Meteorology, Florida State University, Tallahassee, FL 32306-4520, USA","institution_ids":["https://openalex.org/I103163165"]}]},{"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, Chungli, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Adaptive Data Analysis, National Central University, Chungli, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2901,"has_fulltext":false,"cited_by_count":108,"citation_normalized_percentile":{"value":0.93186458,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"02","issue":"02","first_page":"233","last_page":"265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9441999793052673,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9187999963760376,"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":0.9021270275115967},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6728982925415039},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6167521476745605},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.587963879108429},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.5798044800758362},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.561333417892456},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5023958683013916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4882538616657257},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.46884238719940186},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4440149664878845},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4418889284133911},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42822057008743286},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42498984932899475},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.2814619541168213},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20739635825157166},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0957869291305542},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.07508060336112976}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.9021270275115967},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6728982925415039},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6167521476745605},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.587963879108429},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.5798044800758362},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.561333417892456},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5023958683013916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4882538616657257},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.46884238719940186},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4440149664878845},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4418889284133911},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42822057008743286},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42498984932899475},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.2814619541168213},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20739635825157166},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0957869291305542},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.07508060336112976},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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":1,"locations":[{"id":"doi:10.1142/s1793536910000471","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793536910000471","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":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1522718440","https://openalex.org/W1981017347","https://openalex.org/W1981271460","https://openalex.org/W2001785163","https://openalex.org/W2007221293","https://openalex.org/W2028497691","https://openalex.org/W2029285617","https://openalex.org/W2037362466","https://openalex.org/W2054962751","https://openalex.org/W2056116574","https://openalex.org/W2082001988","https://openalex.org/W2111483789","https://openalex.org/W2114151293","https://openalex.org/W2115575384","https://openalex.org/W2120390927","https://openalex.org/W2132846215","https://openalex.org/W2133636534","https://openalex.org/W2138402108","https://openalex.org/W2140477756","https://openalex.org/W2188888757","https://openalex.org/W2795891046"],"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/W2076661204","https://openalex.org/W2380939102","https://openalex.org/W1915398038","https://openalex.org/W3005992387","https://openalex.org/W4360924407"],"abstract_inverted_index":{"A":[0],"Time-Dependent":[1],"Intrinsic":[2],"Correlation":[3],"(TDIC)":[4],"method":[5,86,125,157],"is":[6,36,150],"introduced.":[7],"This":[8,84],"new":[9,85,124,148],"approach":[10,35,121,149],"includes":[11],"both":[12],"auto-":[13],"and":[14,22,29,47,56,135,164,188],"cross-correlation":[15],"analysis":[16,114,183],"designed":[17],"especially":[18],"to":[19,43,64,127,143,161],"analyze,":[20],"capture":[21],"track":[23],"the":[24,45,58,62,69,74,77,88,91,101,116,119,123,147,155,175],"local":[25],"correlations":[26,166],"between":[27],"nonlinear":[28,46,187],"nonstationary":[30,48,189],"time":[31,136],"series":[32,137],"pairs.":[33],"The":[34,133],"based":[37],"on":[38],"Empirical":[39],"Mode":[40],"Decomposition":[41],"(EMD)":[42],"decompose":[44],"data":[49,102,129,185],"into":[50],"their":[51],"intrinsic":[52,112],"mode":[53],"functions":[54],"(IMFs)":[55],"uses":[57],"instantaneous":[59],"periods":[60],"of":[61,68,76,90,115,184],"IMFs":[63],"determine":[65],"a":[66,105,178],"set":[67],"sliding":[70,92],"window":[71,93],"sizes":[72,94],"for":[73,81],"computation":[75],"running":[78],"correlation":[79,113],"coefficients":[80],"multi-scale":[82,131],"data.":[83,117],"treats":[87],"selection":[89],"as":[95],"an":[96,111],"adaptive":[97],"process":[98],"determined":[99],"by":[100],"itself,":[103],"not":[104],"\"tuning\"":[106],"process.":[107],"Therefore,":[108],"it":[109],"gives":[110],"Furthermore,":[118],"multi-window":[120],"makes":[122],"applicable":[126],"complicated":[128],"from":[130,138,186],"phenomena.":[132],"synthetic":[134],"real":[139],"world":[140],"are":[141],"used":[142],"demonstrate":[144],"conclusively":[145],"that":[146],"far":[151],"more":[152],"superior":[153],"over":[154],"traditional":[156],"in":[158,172,181],"its":[159],"ability":[160],"reveal":[162],"detailed":[163],"subtle":[165],"unavailable":[167],"through":[168],"any":[169],"other":[170],"methods":[171],"existence.":[173],"Thus,":[174],"TDIC":[176],"represents":[177],"major":[179],"advance":[180],"statistical":[182],"processes.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":5}],"updated_date":"2026-07-10T07:45:09.275182","created_date":"2025-10-10T00:00:00"}