{"id":"https://openalex.org/W3023044731","doi":"https://doi.org/10.3233/jifs-191728","title":"Optimal preconditioned regularization of least mean squares algorithm for robust online learning","display_name":"Optimal preconditioned regularization of least mean squares algorithm for robust online learning","publication_year":2020,"publication_date":"2020-05-04","ids":{"openalex":"https://openalex.org/W3023044731","doi":"https://doi.org/10.3233/jifs-191728","mag":"3023044731"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-191728","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-191728","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5103131711","display_name":"Shazia Javed","orcid":"https://orcid.org/0000-0001-5075-5557"},"institutions":[{"id":"https://openalex.org/I161237661","display_name":"Lahore College for Women University","ror":"https://ror.org/02bf6br77","country_code":"PK","type":"education","lineage":["https://openalex.org/I161237661"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Shazia Javed","raw_affiliation_strings":["Lahore College for Women University, Lahore, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lahore College for Women University, Lahore, Pakistan","institution_ids":["https://openalex.org/I161237661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089430632","display_name":"Noor Atinah Ahmad","orcid":"https://orcid.org/0000-0002-4249-7305"},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Noor Atinah Ahmad","raw_affiliation_strings":["School of Mathematical Sciences, Universiti Sains Malaysia, Penang, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Universiti Sains Malaysia, Penang, Malaysia","institution_ids":["https://openalex.org/I139322472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103131711"],"corresponding_institution_ids":["https://openalex.org/I161237661"],"apc_list":null,"apc_paid":null,"fwci":0.1799,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44748321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"39","issue":"3","first_page":"3375","last_page":"3385"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9987999796867371,"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/algorithm","display_name":"Algorithm","score":0.667398989200592},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.6412104368209839},{"id":"https://openalex.org/keywords/autocorrelation-matrix","display_name":"Autocorrelation matrix","score":0.5760335922241211},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5564532279968262},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.5410458445549011},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.5264464020729065},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4731498956680298},{"id":"https://openalex.org/keywords/least-absolute-deviations","display_name":"Least absolute deviations","score":0.4712446331977844},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.46624889969825745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4556879699230194},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43354907631874084},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4253408908843994},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.36943569779396057},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11204934120178223},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.09629139304161072},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.07179656624794006}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.667398989200592},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.6412104368209839},{"id":"https://openalex.org/C4033963","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation matrix","level":3,"score":0.5760335922241211},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5564532279968262},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.5410458445549011},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.5264464020729065},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4731498956680298},{"id":"https://openalex.org/C31441030","wikidata":"https://www.wikidata.org/wiki/Q4291882","display_name":"Least absolute deviations","level":3,"score":0.4712446331977844},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.46624889969825745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4556879699230194},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43354907631874084},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4253408908843994},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.36943569779396057},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11204934120178223},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.09629139304161072},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.07179656624794006},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-191728","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-191728","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1538882755","https://openalex.org/W2023812473","https://openalex.org/W2070569478","https://openalex.org/W2099156930","https://openalex.org/W2132749914","https://openalex.org/W2135642922","https://openalex.org/W2157187092","https://openalex.org/W2488876280","https://openalex.org/W2903713089","https://openalex.org/W2963399478","https://openalex.org/W4235680498","https://openalex.org/W4237964482","https://openalex.org/W4255163160"],"related_works":["https://openalex.org/W2133185826","https://openalex.org/W2537611913","https://openalex.org/W2155328232","https://openalex.org/W2389459180","https://openalex.org/W2027630946","https://openalex.org/W2994624297","https://openalex.org/W2113826081","https://openalex.org/W1498421262","https://openalex.org/W2088025173","https://openalex.org/W3023044731"],"abstract_inverted_index":{"Despite":[0],"its":[1],"low":[2],"computational":[3,56],"cost,":[4],"and":[5,25,58,60,95,163],"steady":[6],"state":[7],"behavior,":[8],"some":[9],"well":[10],"known":[11],"drawbacks":[12],"of":[13,23,33,48,55,73,84,99,149,173,181],"the":[14,80,85,97,100,174,178],"least":[15],"means":[16],"squares":[17,112],"(LMS)":[18],"algorithm":[19,144,151,176],"are:":[20],"slow":[21],"rate":[22],"convergence":[24,44,119],"unstable":[26],"behaviour":[27],"for":[28,159],"ill":[29],"conditioned":[30],"autocorrelation":[31,87],"matrices":[32],"input":[34,86,93],"signals.":[35],"Several":[36],"modified":[37],"algorithms":[38,50,156],"have":[39,107],"been":[40],"presented":[41],"with":[42,145,152],"better":[43],"speed,":[45],"however":[46],"most":[47],"these":[49],"are":[51],"expensive":[52],"in":[53,69,104,120,129,134,171],"terms":[54],"cost":[57],"time,":[59],"sometimes":[61],"deviate":[62],"from":[63,166],"optimal":[64,139],"Wiener":[65],"solution":[66,72],"that":[67,132,169],"results":[68,170],"a":[70,136],"biased":[71],"online":[74],"estimation":[75],"problem.":[76],"In":[77],"this":[78],"paper,":[79],"inverse":[81],"Cholesky":[82],"factor":[83],"matrix":[88],"is":[89,115,123,157],"optimized":[90],"to":[91,106],"pre-whiten":[92],"signals":[94],"improve":[96],"robustness":[98],"LMS":[101,142,154,182],"algorithm.":[102,183],"Furthermore,":[103],"order":[105],"an":[108],"unbiased":[109],"solution,":[110],"mean":[111],"deviation":[113],"(MSD)":[114],"minimized":[116],"by":[117,125],"improving":[118],"misalignment.":[121],"This":[122],"done":[124],"regularizing":[126],"step-size":[127],"adaptively":[128],"each":[130],"iteration":[131],"helps":[133],"developing":[135],"highly":[137],"efficient":[138],"preconditioned":[140],"regularized":[141],"(OPRLMS)":[143],"adaptive":[146],"step-size.":[147],"Comparison":[148],"OPRLMS":[150],"other":[153,179],"based":[155],"given":[158],"unknown":[160],"system":[161],"identification":[162],"noise":[164],"cancelation":[165],"ECG":[167],"signal,":[168],"preference":[172],"proposed":[175],"over":[177],"variants":[180]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}