{"id":"https://openalex.org/W1968149897","doi":"https://doi.org/10.1109/sips.2014.6986070","title":"On modified EMD: Selective extrema analysis","display_name":"On modified EMD: Selective extrema analysis","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1968149897","doi":"https://doi.org/10.1109/sips.2014.6986070","mag":"1968149897"},"language":"en","primary_location":{"id":"doi:10.1109/sips.2014.6986070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips.2014.6986070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Workshop on Signal Processing Systems (SiPS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/1280188","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015046198","display_name":"Asma Qureshi","orcid":"https://orcid.org/0000-0002-4321-6624"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Asma Qureshi","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, US","Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, 22904"],"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, US","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, 22904","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080067300","display_name":"Ma\u00eft\u00e9 Brandt-Pearce","orcid":"https://orcid.org/0000-0002-2566-8280"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maite Brandt-Pearce","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, US","Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, 22904"],"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, US","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, 22904","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015046198"],"corresponding_institution_ids":["https://openalex.org/I51556381"],"apc_list":null,"apc_paid":null,"fwci":0.5823,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71048548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9997000098228455,"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/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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.5916340351104736},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5281655192375183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3885754346847534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33391714096069336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2153681516647339}],"concepts":[{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.5916340351104736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5281655192375183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3885754346847534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33391714096069336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2153681516647339},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/sips.2014.6986070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips.2014.6986070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Workshop on Signal Processing Systems (SiPS)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:1280188","is_oa":true,"landing_page_url":"https://zenodo.org/record/1280188","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:1280188","is_oa":true,"landing_page_url":"https://zenodo.org/record/1280188","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.5,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W38860994","https://openalex.org/W177296396","https://openalex.org/W1541904471","https://openalex.org/W1971509683","https://openalex.org/W1996300997","https://openalex.org/W2007221293","https://openalex.org/W2043990671","https://openalex.org/W2105964111","https://openalex.org/W2119732836","https://openalex.org/W2152807092","https://openalex.org/W2494980014","https://openalex.org/W4240592325"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W3188646203","https://openalex.org/W136674370","https://openalex.org/W2909957174","https://openalex.org/W2105527480","https://openalex.org/W2052387497","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"The":[0,110],"Empirical":[1],"Mode":[2,29],"Decomposition":[3],"(EMD)":[4],"algorithm":[5,58,112],"was":[6],"introduced":[7],"as":[8],"the":[9,13,48,56,82,107,128],"first":[10],"step":[11],"of":[12,40,47,62,84,130],"Hilbert-Huang":[14],"Transform,":[15],"proposed":[16,111],"by":[17],"Huang":[18],"et":[19],"al.":[20],"(1998).":[21],"EMD":[22,41,50,101],"decomposes":[23],"a":[24,33,60,86,92,116],"signal":[25,87,118],"into":[26,90],"so-called":[27],"Intrinsic":[28],"Functions":[30],"(IMFs)":[31],"in":[32,59,106,127],"systematic":[34],"way.":[35],"Since":[36],"then,":[37],"various":[38],"versions":[39],"have":[42],"been":[43],"developed,":[44],"addressing":[45],"weaknesses":[46],"original":[49,57],"procedure":[51],"and":[52,96,119],"aiming":[53],"to":[54,67,80,99,103,115,121],"optimize":[55],"number":[61,83],"ways.":[63],"This":[64],"paper":[65],"proposes":[66],"use":[68],"selective":[69],"extrema":[70],"analysis":[71],"while":[72],"generating":[73],"IMFs":[74,85],"with":[75,91],"two":[76,124],"goals.":[77],"One":[78],"is":[79,88,98,113],"reduce/control":[81],"decomposed":[89],"small":[93,104,131],"decomposition":[94],"error,":[95],"second":[97],"make":[100],"insensitive":[102],"variations":[105],"analyzed":[108],"signal.":[109],"applied":[114],"gait":[117],"shown":[120],"consistently":[122],"yield":[123],"IMFs,":[125],"even":[126],"presence":[129],"disturbances.":[132]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}