{"id":"https://openalex.org/W4405362036","doi":"https://doi.org/10.1109/icfsp62546.2024.10785266","title":"Variational Mode Decomposition Denoising Using Anderson-Darling Statistics","display_name":"Variational Mode Decomposition Denoising Using Anderson-Darling Statistics","publication_year":2024,"publication_date":"2024-09-12","ids":{"openalex":"https://openalex.org/W4405362036","doi":"https://doi.org/10.1109/icfsp62546.2024.10785266"},"language":"en","primary_location":{"id":"doi:10.1109/icfsp62546.2024.10785266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icfsp62546.2024.10785266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Frontiers of Signal Processing (ICFSP)","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/A5073843891","display_name":"Khuram Naveed","orcid":"https://orcid.org/0000-0001-8286-6139"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Khuram Naveed","raw_affiliation_strings":["Aarhus University,Dept. Electrical and Computer Engineering,Aarhus,Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aarhus University,Dept. Electrical and Computer Engineering,Aarhus,Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054557758","display_name":"Naveed ur Rehman","orcid":"https://orcid.org/0000-0002-3700-5839"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Naveed Ur Rehman","raw_affiliation_strings":["Aarhus University,Dept. Electrical and Computer Engineering,Aarhus,Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aarhus University,Dept. Electrical and Computer Engineering,Aarhus,Denmark","institution_ids":["https://openalex.org/I204337017"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204337017"],"apc_list":null,"apc_paid":null,"fwci":0.8858,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73352584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"189","last_page":"193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9937999844551086,"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":0.9937999844551086,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9664999842643738,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9419000148773193,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5941298007965088},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5518003702163696},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.47133898735046387},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.44616997241973877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44021451473236084},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37351492047309875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3668621778488159},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.36135706305503845},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.34014904499053955},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2055141031742096}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5941298007965088},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5518003702163696},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.47133898735046387},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.44616997241973877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44021451473236084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37351492047309875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3668621778488159},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.36135706305503845},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.34014904499053955},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2055141031742096},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icfsp62546.2024.10785266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icfsp62546.2024.10785266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Frontiers of Signal Processing (ICFSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/70247114-0ae1-40d7-b0da-d87cf601a5c9","is_oa":false,"landing_page_url":"https://pure.au.dk/portal/en/publications/70247114-0ae1-40d7-b0da-d87cf601a5c9","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Naveed, K & Ur Rehman, N 2024, Variational Mode Decomposition Denoising Using Anderson-Darling Statistics. in 2024 9th International Conference on Frontiers of Signal Processing, ICFSP 2024. IEEE, pp. 189-193, 9th International Conference on Frontiers of Signal Processing, ICFSP 2024, Paris, France, 12/09/2024. https://doi.org/10.1109/ICFSP62546.2024.10785266","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1541794730","https://openalex.org/W1553437616","https://openalex.org/W1851612831","https://openalex.org/W2000305036","https://openalex.org/W2000982976","https://openalex.org/W2079724595","https://openalex.org/W2086983128","https://openalex.org/W2098395403","https://openalex.org/W2109896502","https://openalex.org/W2230410254","https://openalex.org/W2283544056","https://openalex.org/W2518159573","https://openalex.org/W2563757121","https://openalex.org/W2596264646","https://openalex.org/W2763512572","https://openalex.org/W2768013423","https://openalex.org/W2888780661","https://openalex.org/W2908858882","https://openalex.org/W2943879206","https://openalex.org/W2966342215","https://openalex.org/W3026372945","https://openalex.org/W3094291701","https://openalex.org/W3194946604","https://openalex.org/W4206792130","https://openalex.org/W4301420317","https://openalex.org/W4309048297","https://openalex.org/W4362581794","https://openalex.org/W4385309662","https://openalex.org/W4390823692","https://openalex.org/W4391547572","https://openalex.org/W4403657621"],"related_works":["https://openalex.org/W2380059383","https://openalex.org/W4224278052","https://openalex.org/W2063679720","https://openalex.org/W2031856784","https://openalex.org/W2018218513","https://openalex.org/W2185495545","https://openalex.org/W2075046161","https://openalex.org/W2385335131","https://openalex.org/W2067481825","https://openalex.org/W2064938438"],"abstract_inverted_index":{"A":[0],"novel":[1],"signal":[2,21],"denoising":[3],"method":[4,18,132],"is":[5],"proposed":[6,130],"based":[7],"on":[8,135],"variational":[9],"mode":[10,37],"decomposition":[11],"(VMD)":[12],"and":[13,60],"Anderson-Darling":[14,78],"statistics.":[15],"The":[16,113],"VMD":[17,97],"expands":[19],"a":[20,31],"into":[22],"its":[23],"frequency":[24],"components,":[25],"i.e.,":[26],"time":[27],"series":[28],"corresponding":[29,67],"to":[30,68,72,120],"narrow":[32],"range":[33],"frequencies,":[34],"termed":[35],"intrinsic":[36],"functions":[38],"(IMFs)":[39],"of":[40,49,57,62,91,95,101,109,129,138],"the":[41,50,52,55,65,77,86,92,96,99,107,127],"input":[42],"signal.":[43,69],"While":[44],"initial":[45],"IMFs":[46,59,66],"contain":[47],"most":[48],"signal,":[51],"challenge":[53],"remains":[54],"identification":[56],"these":[58],"presence":[61],"noise":[63,102,123],"in":[64],"We":[70,125],"propose":[71],"address":[73],"this":[74],"problem":[75],"using":[76,103,133],"(AD)":[79],"test.":[80,112],"To":[81],"that":[82],"end,":[83],"we":[84],"compare":[85],"empirical":[87],"distribution":[88,117],"function":[89],"(EDF)":[90],"local":[93],"coefficients":[94,114],"with":[98],"EDF":[100],"AD":[104],"statistics":[105],"under":[106],"framework":[108],"goodness-of-fit":[110],"(GoF)":[111],"exhibiting":[115],"noise-like":[116],"are":[118],"set":[119],"zero":[121],"for":[122],"removal.":[124],"demonstrate":[126],"effectiveness":[128],"VMD-AD-GoF":[131],"simulations":[134],"wide":[136],"variety":[137],"signals.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
