{"id":"https://openalex.org/W2890058032","doi":"https://doi.org/10.1109/ict.2018.8464853","title":"On multiplicative update with forgetting factor adaptive step size for least mean-square algorithms","display_name":"On multiplicative update with forgetting factor adaptive step size for least mean-square algorithms","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2890058032","doi":"https://doi.org/10.1109/ict.2018.8464853","mag":"2890058032"},"language":"en","primary_location":{"id":"doi:10.1109/ict.2018.8464853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict.2018.8464853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th International Conference on Telecommunications (ICT)","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/A5013170003","display_name":"Robin Gerzaguet","orcid":"https://orcid.org/0000-0002-6909-2228"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Robin Gerzaguet","raw_affiliation_strings":["CNRS, Univ Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Univ Rennes, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055249203","display_name":"Laurent Ros","orcid":"https://orcid.org/0000-0002-5938-8244"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Laurent Ros","raw_affiliation_strings":["CNRS, Univ. Grenoble Alpes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Univ. Grenoble Alpes, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I899635006"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074422217","display_name":"Fabrice Belv\u00e8ze","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104693","display_name":"STMicroelectronics (France)","ror":"https://ror.org/01c74sd89","country_code":"FR","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210104693"]},{"id":"https://openalex.org/I4210128684","display_name":"Laboratoire des Technologies de la Micro\u00e9lectronique","ror":"https://ror.org/036zswm25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2738703131","https://openalex.org/I3020098449","https://openalex.org/I4210095849","https://openalex.org/I4210128684","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fabrice Belveze","raw_affiliation_strings":["ST-Microelectronics, Grenoble, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ST-Microelectronics, Grenoble, France","institution_ids":["https://openalex.org/I4210104693","https://openalex.org/I4210128684"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004179460","display_name":"Jean-Marc Brossier","orcid":"https://orcid.org/0000-0001-9040-6255"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Marc Brossier","raw_affiliation_strings":["CNRS, Univ. Grenoble Alpes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Univ. Grenoble Alpes, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I899635006"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.365,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63280736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"141","issue":null,"first_page":"588","last_page":"592"},"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":0.9987000226974487,"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.998199999332428,"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/multiplicative-function","display_name":"Multiplicative function","score":0.7422307133674622},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5979557037353516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5421141386032104},{"id":"https://openalex.org/keywords/square","display_name":"Square (algebra)","score":0.5021171569824219},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.4881756901741028},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3588452935218811}],"concepts":[{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.7422307133674622},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5979557037353516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5421141386032104},{"id":"https://openalex.org/C135692309","wikidata":"https://www.wikidata.org/wiki/Q111124","display_name":"Square (algebra)","level":2,"score":0.5021171569824219},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.4881756901741028},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3588452935218811},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/ict.2018.8464853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict.2018.8464853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th International Conference on Telecommunications (ICT)","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":28,"referenced_works":["https://openalex.org/W1508255502","https://openalex.org/W1586233811","https://openalex.org/W1958493425","https://openalex.org/W1998397576","https://openalex.org/W2000342195","https://openalex.org/W2043467869","https://openalex.org/W2083554676","https://openalex.org/W2102995708","https://openalex.org/W2104756719","https://openalex.org/W2110758831","https://openalex.org/W2115947173","https://openalex.org/W2119050990","https://openalex.org/W2123858856","https://openalex.org/W2130181112","https://openalex.org/W2133997843","https://openalex.org/W2134883135","https://openalex.org/W2134988879","https://openalex.org/W2137296401","https://openalex.org/W2157187092","https://openalex.org/W2160498832","https://openalex.org/W2169571074","https://openalex.org/W2284018217","https://openalex.org/W4235305050","https://openalex.org/W4236555067","https://openalex.org/W4383860824","https://openalex.org/W6640913365","https://openalex.org/W6682472312","https://openalex.org/W6683543298"],"related_works":["https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W4245490552","https://openalex.org/W4225152035","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W1587224694","https://openalex.org/W2911598644","https://openalex.org/W2042127053"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3,18,72,82,151],"a":[4,69,73,79,117],"new":[5,74],"adaptive":[6,87],"step-size":[7,127],"overlay":[8,76,88],"dedicated":[9],"to":[10,29,50,56,100,136],"Least":[11],"Mean-Square":[12],"(LMS)":[13],"algorithms":[14,21],"for":[15],"noise":[16],"cancellation":[17],"reference.":[19],"LMS":[20,70],"are":[22,35,47],"often":[23],"used":[24],"in":[25,125,139],"real-time":[26],"estimations":[27],"due":[28],"their":[30,38],"robustness":[31],"and":[32,34,44,62,92,116,142,149],"simplicity,":[33],"guided":[36],"by":[37],"constant":[39],"step":[40,52],"size.":[41],"Their":[42],"transient":[43],"asymptotic":[45,130,154],"performances":[46],"both":[48],"linked":[49],"the":[51,57,90,93,96,102,107,113,126,129,140,152],"size,":[53],"which":[54],"leads":[55],"well-known":[58],"trade-off":[59],"between":[60,112],"speed":[61,91,148],"accuracy.":[63],"In":[64,98],"this":[65],"paper,":[66],"we":[67,105],"propose":[68],"algorithm":[71,103],"self-adaptive":[75],"based":[77],"on":[78],"Multiplicative":[80],"Update":[81],"Forgetting":[83],"Factor":[84],"(LMS-MUFF).":[85],"The":[86],"improves":[89],"reactivity":[94,150],"of":[95],"algorithm.":[97],"order":[99],"tune":[101],"parameters,":[104],"express":[106],"scalar":[108],"case":[109],"semi-analytical":[110],"relationship":[111],"LMS-MUFF":[114],"parameters":[115],"false-alarm":[118],"probability,":[119],"as":[120],"defined":[121],"from":[122],"unwanted":[123],"variations":[124],"during":[128],"mode.":[131],"We":[132],"compare":[133],"our":[134],"method":[135],"reference":[137],"methods":[138],"literature":[141],"show":[143],"that":[144],"it":[145],"offers":[146],"better":[147],"same":[153],"performance.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
