{"id":"https://openalex.org/W3204103484","doi":"https://doi.org/10.1145/3458380.3458432","title":"On the component properties of the EMD method","display_name":"On the component properties of the EMD method","publication_year":2021,"publication_date":"2021-02-26","ids":{"openalex":"https://openalex.org/W3204103484","doi":"https://doi.org/10.1145/3458380.3458432","mag":"3204103484"},"language":"en","primary_location":{"id":"doi:10.1145/3458380.3458432","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3458380.3458432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Digital Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100774761","display_name":"Chaojie Wang","orcid":"https://orcid.org/0000-0001-6782-0650"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chaojie Wang","raw_affiliation_strings":["Beijing Technology and Business University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Technology and Business University, China","institution_ids":["https://openalex.org/I179026463"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100774761"],"corresponding_institution_ids":["https://openalex.org/I179026463"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16023936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"302","last_page":"307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9907000064849854,"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/T11222","display_name":"Magnetic Properties and Applications","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2504","display_name":"Electronic, Optical and Magnetic Materials"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"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":0.8459527492523193},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.8207440376281738},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.7279666066169739},{"id":"https://openalex.org/keywords/basis-function","display_name":"Basis function","score":0.614403486251831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5666123032569885},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5547472834587097},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.5480692982673645},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5344388484954834},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.44588765501976013},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.444469153881073},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4192425012588501},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38111183047294617},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3595644235610962},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3406970202922821},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10397496819496155},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.0641297698020935}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.8459527492523193},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.8207440376281738},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.7279666066169739},{"id":"https://openalex.org/C5917680","wikidata":"https://www.wikidata.org/wiki/Q2621825","display_name":"Basis function","level":2,"score":0.614403486251831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5666123032569885},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5547472834587097},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.5480692982673645},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5344388484954834},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44588765501976013},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.444469153881073},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4192425012588501},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38111183047294617},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3595644235610962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3406970202922821},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10397496819496155},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0641297698020935},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3458380.3458432","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3458380.3458432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Digital Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G916619938","display_name":null,"funder_award_id":"12001022","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1989818476","https://openalex.org/W2007221293","https://openalex.org/W2009465763","https://openalex.org/W2010159624","https://openalex.org/W2028682334","https://openalex.org/W2043990671","https://openalex.org/W2070310969","https://openalex.org/W2098395403","https://openalex.org/W2120390927","https://openalex.org/W2138402108","https://openalex.org/W2160097539","https://openalex.org/W2162232878","https://openalex.org/W2180660427","https://openalex.org/W2570831273","https://openalex.org/W2788916342","https://openalex.org/W2793866402","https://openalex.org/W2799876405","https://openalex.org/W2905217625","https://openalex.org/W3015245113","https://openalex.org/W3033636770"],"related_works":["https://openalex.org/W2006953814","https://openalex.org/W2542637001","https://openalex.org/W1972782945","https://openalex.org/W3212981098","https://openalex.org/W4221090543","https://openalex.org/W2130622405","https://openalex.org/W2109887391","https://openalex.org/W1819996744","https://openalex.org/W2154858558","https://openalex.org/W1816864220"],"abstract_inverted_index":{"The":[0,75],"empirical":[1],"mode":[2,52],"decomposition":[3],"(EMD)":[4],"method":[5],"has":[6],"been":[7],"applied":[8],"successfully":[9],"to":[10,21,36],"various":[11],"scientific":[12],"and":[13,48,101],"engineering":[14],"areas":[15],"since":[16],"proposed.":[17],"Despite":[18],"certain":[19],"attempts":[20],"analyze":[22],"its":[23,45],"properties,":[24],"it":[25],"is":[26,61,82],"still":[27],"lacking":[28],"in":[29,57],"a":[30,38],"unified":[31],"theory":[32],"basis.":[33],"In":[34],"order":[35],"gain":[37],"better":[39],"understanding":[40],"of":[41,71,77,96,104,110],"the":[42,49,66,85,94,108,111],"EMD":[43,112],"method,":[44],"sifting":[46],"process":[47],"resulting":[50],"intrinsic":[51],"functions":[53,81],"(IMFs)":[54],"are":[55,69],"analyzed":[56],"this":[58],"paper.":[59],"It":[60],"found":[62],"that":[63,92],"IMFs":[64],"except":[65],"first":[67],"one":[68],"composed":[70],"interpolation":[72,79,97],"basis":[73,80,98],"functions.":[74],"construction":[76],"these":[78],"dependent":[83],"on":[84],"given":[86],"data":[87,105],"points.":[88],"Numerical":[89],"experiments":[90],"illustrate":[91],"both":[93],"selection":[95],"function":[99],"types":[100],"sampling":[102],"rate":[103],"points":[106],"influence":[107],"performance":[109],"type":[113],"methods.":[114]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
