{"id":"https://openalex.org/W2142528733","doi":"https://doi.org/10.1109/lsp.2012.2186566","title":"Bidimensional Statistical Empirical Mode Decomposition","display_name":"Bidimensional Statistical Empirical Mode Decomposition","publication_year":2012,"publication_date":"2012-02-01","ids":{"openalex":"https://openalex.org/W2142528733","doi":"https://doi.org/10.1109/lsp.2012.2186566","mag":"2142528733"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2012.2186566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2012.2186566","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","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/A5067386174","display_name":"Donghoh Kim","orcid":"https://orcid.org/0000-0001-7031-5639"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Donghoh Kim","raw_affiliation_strings":["Department of Applied Mathematics, Sejong University, Seoul, South Korea","Dept. of Appl. Math., Sejong Univ., Seoul, South Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]},{"raw_affiliation_string":"Dept. of Appl. Math., Sejong Univ., Seoul, South Korea#TAB#","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102738950","display_name":"Minjeong Park","orcid":"https://orcid.org/0000-0001-5902-673X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minjeong Park","raw_affiliation_strings":["Department of Statistics, Seoul National University, Seoul, South Korea","Dept. of Stat., Seoul Nat. Univ., Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Dept. of Stat., Seoul Nat. Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109103988","display_name":"Hee-Seok Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hee-Seok Oh","raw_affiliation_strings":["Department of Statistics, Seoul National University, Seoul, South Korea","Dept. of Stat., Seoul Nat. Univ., Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Dept. of Stat., Seoul Nat. Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067386174"],"corresponding_institution_ids":["https://openalex.org/I28777354"],"apc_list":null,"apc_paid":null,"fwci":6.2509,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.96288942,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"19","issue":"4","first_page":"191","last_page":"194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9871000051498413,"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":0.9592000246047974,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.8921735286712646},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.8462474346160889},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.7426134943962097},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5998361110687256},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5940916538238525},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.5924701690673828},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5421068072319031},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5361068248748779},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4447837769985199},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42647019028663635},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4166809916496277},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40911269187927246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24643224477767944},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.14920169115066528},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07785531878471375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06107059121131897}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.8921735286712646},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.8462474346160889},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.7426134943962097},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5998361110687256},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5940916538238525},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.5924701690673828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5421068072319031},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5361068248748779},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4447837769985199},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42647019028663635},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4166809916496277},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40911269187927246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24643224477767944},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.14920169115066528},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07785531878471375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06107059121131897},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2012.2186566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2012.2186566","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","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":12,"referenced_works":["https://openalex.org/W1993705020","https://openalex.org/W2001832568","https://openalex.org/W2031586513","https://openalex.org/W2065540158","https://openalex.org/W2077896037","https://openalex.org/W2103953153","https://openalex.org/W2120390927","https://openalex.org/W2122470043","https://openalex.org/W2138402108","https://openalex.org/W2150072852","https://openalex.org/W2170044118","https://openalex.org/W2797463641"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2081563414","https://openalex.org/W2363056446","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W3014107421","https://openalex.org/W2076661204","https://openalex.org/W2380939102","https://openalex.org/W2354676191","https://openalex.org/W2011248322"],"abstract_inverted_index":{"This":[0],"letter":[1],"proposes":[2],"a":[3,15,51,61],"new":[4,62],"algorithm,":[5],"termed":[6],"bidimensional":[7,40],"statistical":[8],"empirical":[9,41],"mode":[10,42],"decomposition":[11,43,47],"(BSEMD)":[12],"that":[13],"adopts":[14],"smoothing":[16,56,73],"procedure":[17],"instead":[18],"of":[19,38,65],"an":[20],"interpolation":[21],"when":[22],"constructing":[23],"2-D":[24,66],"upper":[25],"and":[26,49],"lower":[27],"envelopes.":[28],"For":[29],"this":[30],"purpose,":[31],"we":[32],"investigate":[33],"the":[34,46,55],"sifting":[35,57,74],"process":[36,58],"effect":[37],"conventional":[39],"(BEMD)":[44],"on":[45],"results,":[48],"propose":[50],"modified":[52],"BEMD":[53],"via":[54],"coupling":[59],"with":[60],"identification":[63],"method":[64],"local":[67],"extrema.":[68],"Furthermore,":[69],"theoretical":[70],"rationale":[71],"for":[72],"is":[75],"investigated.":[76]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2025-10-10T00:00:00"}