{"id":"https://openalex.org/W2150584309","doi":"https://doi.org/10.1109/icassp.1981.1171380","title":"Error smoothing in adaptive LMS algorithms","display_name":"Error smoothing in adaptive LMS algorithms","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W2150584309","doi":"https://doi.org/10.1109/icassp.1981.1171380","mag":"2150584309"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1981.1171380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1981.1171380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '81. IEEE International Conference on Acoustics, Speech, and 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/A5109813021","display_name":"J.Y. Cheung","orcid":null},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"J. Cheung","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, OU, Norman, OK, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, OU, Norman, OK, USA","institution_ids":["https://openalex.org/I8692664"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5109813021"],"corresponding_institution_ids":["https://openalex.org/I8692664"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28966208,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"901","last_page":"904"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.9202646017074585},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6841970682144165},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6040563583374023},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.5946627259254456},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5943282246589661},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5907443761825562},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.5863160490989685},{"id":"https://openalex.org/keywords/hodrick\u2013prescott-filter","display_name":"Hodrick\u2013Prescott filter","score":0.49147331714630127},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48784971237182617},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4853936433792114},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46975043416023254},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4509654641151428},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.42558541893959045},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4237164855003357},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16388481855392456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.05513677000999451},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.046922534704208374}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.9202646017074585},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6841970682144165},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6040563583374023},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.5946627259254456},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5943282246589661},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5907443761825562},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.5863160490989685},{"id":"https://openalex.org/C63382987","wikidata":"https://www.wikidata.org/wiki/Q455204","display_name":"Hodrick\u2013Prescott filter","level":3,"score":0.49147331714630127},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48784971237182617},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4853936433792114},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46975043416023254},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4509654641151428},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.42558541893959045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4237164855003357},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16388481855392456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.05513677000999451},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.046922534704208374},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C165556158","wikidata":"https://www.wikidata.org/wiki/Q83937","display_name":"Keynesian economics","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C83873408","wikidata":"https://www.wikidata.org/wiki/Q192311","display_name":"Business cycle","level":2,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1981.1171380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1981.1171380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '81. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2067345556","https://openalex.org/W2110075977","https://openalex.org/W2144817192","https://openalex.org/W4236087597"],"related_works":["https://openalex.org/W4301492223","https://openalex.org/W3015893479","https://openalex.org/W2021006156","https://openalex.org/W2978761958","https://openalex.org/W2363395155","https://openalex.org/W2353350167","https://openalex.org/W2585650854","https://openalex.org/W1528607246","https://openalex.org/W2123646018","https://openalex.org/W2391894337"],"abstract_inverted_index":{"In":[0],"this":[1,21],"paper,":[2],"an":[3],"output":[4,51],"error":[5,36,52,91],"smoothing":[6,49,56,76,100],"filter":[7,101],"has":[8],"been":[9],"applied":[10],"to":[11,24,55,67,73],"the":[12,26,31,50,57,61,75,86,96],"traditional":[13],"gradient":[14],"based":[15],"adaptive":[16],"filter.":[17],"The":[18],"rationale":[19],"for":[20],"modification":[22],"is":[23,53,70],"increase":[25],"convergence":[27,66,79],"rate":[28,80],"and":[29,60,85],"decrease":[30],"minimum":[32,87],"expected":[33,88],"mean":[34,89],"square":[35,90],"by":[37],"ensuring":[38],"a":[39,64],"more":[40],"stable":[41],"region":[42],"of":[43,99],"operation.":[44,77],"It":[45],"was":[46],"shown":[47],"that":[48],"equivalent":[54],"desired":[58],"response":[59],"input.":[62],"As":[63],"result,":[65],"Wiener-Hopf":[68],"solution":[69],"slightly":[71],"modified":[72],"reflect":[74],"However,":[78],"can":[81,92],"be":[82,93],"significantly":[83],"improved":[84],"reduced":[94],"with":[95],"proper":[97],"choice":[98],"coefficients.":[102]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}