{"id":"https://openalex.org/W3109867339","doi":"https://doi.org/10.1109/icspcc50002.2020.9259504","title":"Random Fourier Features Multi-Kernel LMS Algorithm","display_name":"Random Fourier Features Multi-Kernel LMS Algorithm","publication_year":2020,"publication_date":"2020-08-21","ids":{"openalex":"https://openalex.org/W3109867339","doi":"https://doi.org/10.1109/icspcc50002.2020.9259504","mag":"3109867339"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc50002.2020.9259504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc50002.2020.9259504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/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":"middle","author":{"id":"https://openalex.org/A5100333004","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0003-2306-8860"},"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":"Jie Chen","raw_affiliation_strings":["CIAIC, School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an, China","CIAIC, School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIAIC, School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"CIAIC, School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"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":["CIAIC, School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an, China","CIAIC, School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIAIC, School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"CIAIC, 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":0.1801,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49317265,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9976999759674072,"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/kernel","display_name":"Kernel (algebra)","score":0.7967811822891235},{"id":"https://openalex.org/keywords/transient","display_name":"Transient (computer programming)","score":0.6081084609031677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5809325575828552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5530673265457153},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5441199541091919},{"id":"https://openalex.org/keywords/steady-state","display_name":"Steady state (chemistry)","score":0.5285481214523315},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5042420625686646},{"id":"https://openalex.org/keywords/fourier-series","display_name":"Fourier series","score":0.44359830021858215},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.4106210172176361},{"id":"https://openalex.org/keywords/variable-kernel-density-estimation","display_name":"Variable kernel density estimation","score":0.4102400243282318},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3704235553741455},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.36290639638900757},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.3538360595703125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32629430294036865},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2072092592716217},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.14728572964668274},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.12927213311195374},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1136476993560791},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.08267351984977722}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7967811822891235},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.6081084609031677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5809325575828552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5530673265457153},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5441199541091919},{"id":"https://openalex.org/C8171440","wikidata":"https://www.wikidata.org/wiki/Q903414","display_name":"Steady state (chemistry)","level":2,"score":0.5285481214523315},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5042420625686646},{"id":"https://openalex.org/C207864730","wikidata":"https://www.wikidata.org/wiki/Q179467","display_name":"Fourier series","level":2,"score":0.44359830021858215},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.4106210172176361},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.4102400243282318},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3704235553741455},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.36290639638900757},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3538360595703125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32629430294036865},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2072092592716217},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.14728572964668274},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.12927213311195374},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1136476993560791},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.08267351984977722},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc50002.2020.9259504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc50002.2020.9259504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321410","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1530372899","https://openalex.org/W1540155273","https://openalex.org/W1782603992","https://openalex.org/W1819447595","https://openalex.org/W1880403203","https://openalex.org/W1975681165","https://openalex.org/W1982175152","https://openalex.org/W2001543294","https://openalex.org/W2022669094","https://openalex.org/W2031863147","https://openalex.org/W2038977320","https://openalex.org/W2044209430","https://openalex.org/W2071820974","https://openalex.org/W2112232251","https://openalex.org/W2139320579","https://openalex.org/W2167932108","https://openalex.org/W2346699383","https://openalex.org/W2481926318","https://openalex.org/W2599228073","https://openalex.org/W2610805269","https://openalex.org/W2774687542","https://openalex.org/W2863267419","https://openalex.org/W2897603092","https://openalex.org/W2938491959","https://openalex.org/W2963177408","https://openalex.org/W2973534848","https://openalex.org/W2991918898","https://openalex.org/W3009947011","https://openalex.org/W4239240501"],"related_works":["https://openalex.org/W1984421104","https://openalex.org/W2127229869","https://openalex.org/W2535206775","https://openalex.org/W2004333127","https://openalex.org/W4389251307","https://openalex.org/W2420851703","https://openalex.org/W1603091392","https://openalex.org/W3123056048","https://openalex.org/W2165576085","https://openalex.org/W4311138679"],"abstract_inverted_index":{"Multi-kernel":[0],"based":[1],"methods":[2],"have":[3],"better":[4],"and":[5,14,33,41,49,66],"more":[6,11],"flexible":[7],"performance":[8],"due":[9],"to":[10,45],"freedom":[12],"degrees":[13],"united":[15],"features":[16],"than":[17],"the":[18,26,39,59,64,71],"mono-kernel":[19],"methods.":[20],"In":[21],"this":[22],"paper,":[23],"we":[24],"present":[25],"random":[27],"Fourier":[28],"multi-kernel":[29],"least-mean-square":[30],"(RFF-MKLMS)":[31],"algorithm,":[32],"derive":[34],"its":[35,47],"analytical":[36],"models":[37],"in":[38],"mean":[40],"mean-square":[42],"error":[43],"sense":[44],"characterize":[46],"transient":[48,65],"steady-state":[50,67],"stochastic":[51],"behaviors.":[52],"The":[53],"theoretical":[54,74],"predictions":[55],"consistently":[56],"match":[57],"with":[58],"simulated":[60],"learning":[61],"curves":[62],"during":[63],"phases,":[68],"which":[69],"validate":[70],"accuracy":[72],"of":[73],"findings.":[75]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}