{"id":"https://openalex.org/W3209023887","doi":"https://doi.org/10.1109/icspcc52875.2021.9564403","title":"Nonlinear Recurrent Kernel Normalized LMS Algorithm for Nonlinear Autoregressive System","display_name":"Nonlinear Recurrent Kernel Normalized LMS Algorithm for Nonlinear Autoregressive System","publication_year":2021,"publication_date":"2021-08-17","ids":{"openalex":"https://openalex.org/W3209023887","doi":"https://doi.org/10.1109/icspcc52875.2021.9564403","mag":"3209023887"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc52875.2021.9564403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc52875.2021.9564403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-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/A5009813961","display_name":"Dongliang Fu","orcid":"https://orcid.org/0000-0001-8361-7767"},"institutions":[{"id":"https://openalex.org/I4210105312","display_name":"Shanghai Power Equipment Research Institute","ror":"https://ror.org/01pw44479","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210105312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongliang Fu","raw_affiliation_strings":["Shanghai Marine Equipment Research Institute, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Marine Equipment Research Institute, Shanghai, China","institution_ids":["https://openalex.org/I4210105312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007926005","display_name":"Wei Gao","orcid":"https://orcid.org/0000-0003-1722-2681"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Gao","raw_affiliation_strings":["School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057912599","display_name":"Meiru Song","orcid":null},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiru Song","raw_affiliation_strings":["School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100384157","display_name":"Lingling Zhang","orcid":"https://orcid.org/0000-0002-9834-7410"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingling Zhang","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3565,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56337015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9990000128746033,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9983999729156494,"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/autoregressive-model","display_name":"Autoregressive model","score":0.7797558307647705},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.7370986342430115},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7358361482620239},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6379703283309937},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.6325634717941284},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.5939582586288452},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5417841076850891},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5153598189353943},{"id":"https://openalex.org/keywords/kernel-adaptive-filter","display_name":"Kernel adaptive filter","score":0.5101364254951477},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.48428601026535034},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43235546350479126},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.424069344997406},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4153846502304077},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35833531618118286},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3438442051410675},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.21922940015792847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2026670277118683},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.12019431591033936},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10694196820259094}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7797558307647705},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.7370986342430115},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7358361482620239},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6379703283309937},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.6325634717941284},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.5939582586288452},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5417841076850891},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5153598189353943},{"id":"https://openalex.org/C13107197","wikidata":"https://www.wikidata.org/wiki/Q6394192","display_name":"Kernel adaptive filter","level":4,"score":0.5101364254951477},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.48428601026535034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43235546350479126},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.424069344997406},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4153846502304077},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35833531618118286},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3438442051410675},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.21922940015792847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2026670277118683},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.12019431591033936},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10694196820259094},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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:10.1109/icspcc52875.2021.9564403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc52875.2021.9564403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7753321038","display_name":null,"funder_award_id":"61701200,61701529,61801394","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1819447595","https://openalex.org/W1880403203","https://openalex.org/W1975681165","https://openalex.org/W1986280275","https://openalex.org/W1986580492","https://openalex.org/W2001148506","https://openalex.org/W2011197824","https://openalex.org/W2022669094","https://openalex.org/W2027655461","https://openalex.org/W2031863147","https://openalex.org/W2037116712","https://openalex.org/W2038977320","https://openalex.org/W2073616139","https://openalex.org/W2094631910","https://openalex.org/W2109743529","https://openalex.org/W2122021878","https://openalex.org/W2139320579","https://openalex.org/W2153290280","https://openalex.org/W2161164326","https://openalex.org/W2167932108","https://openalex.org/W2481926318","https://openalex.org/W2576230853","https://openalex.org/W2614024333","https://openalex.org/W2794403697","https://openalex.org/W2953934301","https://openalex.org/W2991918898","https://openalex.org/W2999398901","https://openalex.org/W3109867339","https://openalex.org/W6660206623","https://openalex.org/W6786485743"],"related_works":["https://openalex.org/W2357454918","https://openalex.org/W2079771791","https://openalex.org/W4206392134","https://openalex.org/W3148299653","https://openalex.org/W2081377629","https://openalex.org/W1958112699","https://openalex.org/W2138121076","https://openalex.org/W2567448372","https://openalex.org/W2276435569","https://openalex.org/W2146261928"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,36],"nonlinear":[6,23,50],"recurrent":[7,51,78],"kernel":[8,79],"normalized":[9],"LMS":[10],"(NR-KNLMS)":[11],"algorithm":[12,43,72,89],"based":[13],"on":[14],"the":[15,28,32,41,49,56,69,74,85],"algorithmic":[16],"framework":[17],"of":[18,31,38,48,61,87],"multikernel":[19],"adaptive":[20,80],"filtering":[21,57],"for":[22],"autoregressive":[24],"systems.":[25],"By":[26],"introducing":[27],"time":[29],"delay":[30],"desired":[33],"output":[34],"as":[35],"part":[37],"augmented":[39],"input,":[40],"NR-KNLMS":[42,88],"with":[44,68],"taking":[45],"into":[46],"account":[47],"is":[52],"able":[53],"to":[54],"improve":[55],"performance":[58],"in":[59],"terms":[60],"convergence":[62],"rate":[63],"and":[64,73],"excess":[65],"mean-square-error":[66],"compared":[67],"regular":[70],"KNLMS":[71],"existing":[75],"socalled":[76],"linear":[77],"filters.":[81],"Numerical":[82],"tests":[83],"showcase":[84],"superiority":[86],"over":[90],"state-of-the-art":[91],"algorithms.":[92]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}