{"id":"https://openalex.org/W4405908056","doi":"https://doi.org/10.1109/tnnls.2024.3518592","title":"RBF NN-Enabled Adaptive Filter for Any Type of Noise","display_name":"RBF NN-Enabled Adaptive Filter for Any Type of Noise","publication_year":2024,"publication_date":"2024-12-30","ids":{"openalex":"https://openalex.org/W4405908056","doi":"https://doi.org/10.1109/tnnls.2024.3518592","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030761"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3518592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3518592","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5036984102","display_name":"Min Li","orcid":"https://orcid.org/0000-0002-5621-592X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Li","raw_affiliation_strings":["School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031196628","display_name":"Yunlong Zhao","orcid":"https://orcid.org/0000-0002-5553-9009"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Zhao","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078925990","display_name":"Qizhen Wang","orcid":"https://orcid.org/0000-0001-6914-1520"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qizhen Wang","raw_affiliation_strings":["National Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112703561","display_name":"Hanlin Gao","orcid":"https://orcid.org/0009-0007-6644-0884"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanlin Gao","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100775767","display_name":"Gang Wang","orcid":"https://orcid.org/0000-0003-0114-0649"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Wang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5036984102"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":3.1443,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.92447419,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"36","issue":"8","first_page":"15542","last_page":"15546"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9764999747276306,"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":0.9764999747276306,"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/T10320","display_name":"Neural Networks and Applications","score":0.9527999758720398,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.5104964971542358},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4869471788406372},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.46486005187034607},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.44313040375709534},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.4292197823524475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3278435468673706},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15428873896598816},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11769437789916992},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06298628449440002}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5104964971542358},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4869471788406372},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.46486005187034607},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.44313040375709534},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.4292197823524475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3278435468673706},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15428873896598816},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11769437789916992},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06298628449440002},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3518592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3518592","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:40030761","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030761","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2096093732","https://openalex.org/W2097488004","https://openalex.org/W2142801300","https://openalex.org/W2619474312","https://openalex.org/W2801754224","https://openalex.org/W2963137067","https://openalex.org/W2980199229","https://openalex.org/W2995075170","https://openalex.org/W3005929968","https://openalex.org/W3024853581","https://openalex.org/W3091821987","https://openalex.org/W3107236698","https://openalex.org/W3161206487","https://openalex.org/W3161765443","https://openalex.org/W3183282730","https://openalex.org/W3199696784","https://openalex.org/W3200288111","https://openalex.org/W3217210327","https://openalex.org/W4200125567","https://openalex.org/W4205534431","https://openalex.org/W4225984592","https://openalex.org/W4230367971","https://openalex.org/W4285256575","https://openalex.org/W4286539275","https://openalex.org/W4294167393","https://openalex.org/W4309628246","https://openalex.org/W4312520746","https://openalex.org/W4312823572","https://openalex.org/W4315488589","https://openalex.org/W4387340848","https://openalex.org/W4390120110","https://openalex.org/W4394585837","https://openalex.org/W4399404562"],"related_works":["https://openalex.org/W3188962172","https://openalex.org/W2772917594","https://openalex.org/W4312825515","https://openalex.org/W4306742369","https://openalex.org/W4303457083","https://openalex.org/W2131146434","https://openalex.org/W2951359407","https://openalex.org/W4376623224","https://openalex.org/W4387849428","https://openalex.org/W2965396565"],"abstract_inverted_index":{"The":[0,20,44],"brief":[1],"proposes":[2],"a":[3,24,48],"radial":[4],"basis":[5],"function":[6,39,59],"(RBF)":[7],"neural":[8],"network":[9],"(NN)-enabled":[10],"adaptive":[11,62,66],"filter":[12],"(AF)":[13],"algorithm,":[14],"which":[15],"consists":[16],"of":[17,41,60,85,123],"two":[18],"stages.":[19],"first":[21],"stage":[22,46],"is":[23,33,47,70],"data-driven":[25],"(DD)":[26],"preprocessing":[27],"part,":[28,51],"and":[29,64,100,106,115],"the":[30,36,42,52,57,61,74,78,86,88,112,121,124],"RBF":[31,53,75,79],"NN":[32,54,80],"to":[34],"fit":[35,82],"probability":[37],"density":[38],"(pdf)":[40],"noise.":[43],"second":[45],"model-driven":[49],"filtering":[50],"works":[55],"as":[56],"cost":[58],"filtering,":[63],"an":[65],"gradient":[67],"ascent":[68],"algorithm":[69,90],"obtained":[71],"by":[72],"maximizing":[73],"NN.":[76],"Since":[77],"can":[81,91],"any":[83],"pdf":[84],"noise,":[87],"proposed":[89,125],"work":[92],"well":[93],"in":[94],"Gaussian,":[95],"sub-Gaussian":[96],"or":[97,102],"light-tailed":[98],"(uniform),":[99],"super-Gaussian":[101],"heavy-tailed":[103],"(multipeak,":[104],"pulse,":[105],"skewness)":[107],"noises.":[108],"Theoretical":[109],"analysis":[110],"shows":[111],"mean-value":[113],"stability":[114],"mean":[116],"square":[117],"performance.":[118],"Simulations":[119],"verify":[120],"effectiveness":[122],"algorithm.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
