{"id":"https://openalex.org/W2397570324","doi":"https://doi.org/10.1109/lsp.2016.2569494","title":"A De-noising Scheme Based on the Null Hypothesis of Intrinsic Mode Functions","display_name":"A De-noising Scheme Based on the Null Hypothesis of Intrinsic Mode Functions","publication_year":2016,"publication_date":"2016-05-18","ids":{"openalex":"https://openalex.org/W2397570324","doi":"https://doi.org/10.1109/lsp.2016.2569494","mag":"2397570324"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2016.2569494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2016.2569494","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/A5080021964","display_name":"Mahdi H. Al-Badrawi","orcid":"https://orcid.org/0000-0003-3279-2500"},"institutions":[{"id":"https://openalex.org/I161057412","display_name":"University of New Hampshire","ror":"https://ror.org/01rmh9n78","country_code":"US","type":"education","lineage":["https://openalex.org/I161057412"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mahdi H. Al-Badrawi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of New Hampshire, Durham, NH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of New Hampshire, Durham, NH, USA","institution_ids":["https://openalex.org/I161057412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085058492","display_name":"Bessam Z. Al-Jewad","orcid":null},"institutions":[{"id":"https://openalex.org/I1294182474","display_name":"Cihan University-Erbil","ror":"https://ror.org/03hevjm30","country_code":"IQ","type":"education","lineage":["https://openalex.org/I1294182474"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Bessam Z. Al-Jewad","raw_affiliation_strings":["Department of Communication and Computer Engineering, Cihan University, Erbil, Iraq"],"affiliations":[{"raw_affiliation_string":"Department of Communication and Computer Engineering, Cihan University, Erbil, Iraq","institution_ids":["https://openalex.org/I1294182474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023466608","display_name":"Wayne Smith","orcid":"https://orcid.org/0009-0007-9537-1216"},"institutions":[{"id":"https://openalex.org/I161057412","display_name":"University of New Hampshire","ror":"https://ror.org/01rmh9n78","country_code":"US","type":"education","lineage":["https://openalex.org/I161057412"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wayne J. Smith","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of New Hampshire, Durham, NH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of New Hampshire, Durham, NH, USA","institution_ids":["https://openalex.org/I161057412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044192765","display_name":"Nicholas J. Kirsch","orcid":"https://orcid.org/0000-0002-0538-4256"},"institutions":[{"id":"https://openalex.org/I161057412","display_name":"University of New Hampshire","ror":"https://ror.org/01rmh9n78","country_code":"US","type":"education","lineage":["https://openalex.org/I161057412"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas J. Kirsch","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of New Hampshire, Durham, NH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of New Hampshire, Durham, NH, USA","institution_ids":["https://openalex.org/I161057412"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080021964"],"corresponding_institution_ids":["https://openalex.org/I161057412"],"apc_list":null,"apc_paid":null,"fwci":2.1424,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87891367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"23","issue":"7","first_page":"924","last_page":"928"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9983000159263611,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer 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":0.7205159664154053},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.5823057293891907},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5528634190559387},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.5451211333274841},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.5359388589859009},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49106478691101074},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.48417168855667114},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4699910879135132},{"id":"https://openalex.org/keywords/null","display_name":"Null (SQL)","score":0.4622582793235779},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4465303122997284},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4186931848526001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41679665446281433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40860119462013245},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26260167360305786},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1473200023174286}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.7205159664154053},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.5823057293891907},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5528634190559387},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5451211333274841},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.5359388589859009},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49106478691101074},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.48417168855667114},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4699910879135132},{"id":"https://openalex.org/C203763787","wikidata":"https://www.wikidata.org/wiki/Q371029","display_name":"Null (SQL)","level":2,"score":0.4622582793235779},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4465303122997284},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4186931848526001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41679665446281433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40860119462013245},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26260167360305786},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1473200023174286},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2016.2569494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2016.2569494","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":[{"id":"https://openalex.org/G2455325228","display_name":null,"funder_award_id":"1336824","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W9997782","https://openalex.org/W62719046","https://openalex.org/W397076878","https://openalex.org/W569291674","https://openalex.org/W2004884583","https://openalex.org/W2027856366","https://openalex.org/W2028341025","https://openalex.org/W2033938862","https://openalex.org/W2038804109","https://openalex.org/W2046245205","https://openalex.org/W2052199757","https://openalex.org/W2059307943","https://openalex.org/W2063424275","https://openalex.org/W2098395403","https://openalex.org/W2104745188","https://openalex.org/W2108502280","https://openalex.org/W2109896502","https://openalex.org/W2129276500","https://openalex.org/W2145224695","https://openalex.org/W2154344738","https://openalex.org/W2157209869","https://openalex.org/W2158940042","https://openalex.org/W2160097539","https://openalex.org/W2498101330","https://openalex.org/W2797855141","https://openalex.org/W2942228371","https://openalex.org/W4210840459","https://openalex.org/W4214806317","https://openalex.org/W4237207237","https://openalex.org/W4296928088","https://openalex.org/W6682396645"],"related_works":["https://openalex.org/W1997747147","https://openalex.org/W4296826658","https://openalex.org/W4251996830","https://openalex.org/W2924932104","https://openalex.org/W2135894974","https://openalex.org/W4297915994","https://openalex.org/W2985158452","https://openalex.org/W2979681497","https://openalex.org/W2131297085","https://openalex.org/W2369782938"],"abstract_inverted_index":{"Empirical":[0],"mode":[1,19],"decomposition":[2],"is":[3,58,77,85],"a":[4,12,28,46,61,67,81],"nonparametric":[5],"adaptive":[6],"tool":[7],"that":[8,22,65],"decomposes":[9],"signals":[10,90],"into":[11],"set":[13],"of":[14,42,48,72,104],"zero-mean":[15],"modes":[16],"called":[17],"intrinsic":[18],"functions":[20],"(IMFs)":[21],"can":[23],"be":[24],"used":[25,59,79],"to":[26,110],"denoise":[27],"signal":[29,49],"by":[30,45],"selecting":[31],"the":[32,39,55,73,102,105],"relevant":[33],"(noise-free)":[34],"modes.":[35],"In":[36],"this":[37],"paper,":[38],"statistical":[40,56],"properties":[41],"IMFs,":[43],"produced":[44],"range":[47],"distributions,":[50],"are":[51],"examined.":[52],"Insight":[53],"from":[54],"analysis":[57],"in":[60,80],"null":[62],"hypothesis":[63],"test":[64,76,89],"validates":[66],"best":[68],"fit":[69],"model":[70],"distribution":[71],"IMFs.":[74],"This":[75],"then":[78],"de-noising":[82,113],"scheme,":[83],"which":[84],"evaluated":[86],"using":[87],"different":[88,99],"corrupted":[91],"with":[92],"white":[93],"and":[94],"colored":[95],"noise.":[96],"Simulations":[97],"under":[98],"scenarios":[100],"demonstrate":[101],"efficacy":[103],"proposed":[106],"method":[107],"as":[108],"compared":[109],"other":[111],"EMD-based":[112],"techniques.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}