{"id":"https://openalex.org/W2896704726","doi":"https://doi.org/10.1109/ijcnn.2018.8488997","title":"Analysis and Improvement of convergence speed in kernel adaptive filters with nonlinear even cost function and pre-tuned dictionary","display_name":"Analysis and Improvement of convergence speed in kernel adaptive filters with nonlinear even cost function and pre-tuned dictionary","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2896704726","doi":"https://doi.org/10.1109/ijcnn.2018.8488997","mag":"2896704726"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8488997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8488997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","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/A5056081626","display_name":"Eden P. da Silva","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142352","display_name":"Laborat\u00f3rio Nacional de Computa\u00e7\u00e3o Cient\u00edfica","ror":"https://ror.org/0498ekt05","country_code":"BR","type":"government","lineage":["https://openalex.org/I4210142352"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Eden P. da Silva","raw_affiliation_strings":["National Laboratory for Scientific Computing, Petropolis, BRA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory for Scientific Computing, Petropolis, BRA","institution_ids":["https://openalex.org/I4210142352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018743374","display_name":"A. Carlos Estombelo-Montesco","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A. Carlos Estombelo-Montesco","raw_affiliation_strings":["Computer Science Department, UFS, Sao Cristovao, BRA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, UFS, Sao Cristovao, BRA","institution_ids":["https://openalex.org/I4210156583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004593752","display_name":"Ewaldo \u00c9der Carvalho Santana","orcid":"https://orcid.org/0000-0002-8894-5353"},"institutions":[{"id":"https://openalex.org/I4210148707","display_name":"Universidade Estadual do Maranh\u00e3o","ror":"https://ror.org/04ja5n907","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210148707"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ewaldo Santana","raw_affiliation_strings":["Mathematics Department, UEMA, Sao Luis, BRA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics Department, UEMA, Sao Luis, BRA","institution_ids":["https://openalex.org/I4210148707"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069322533","display_name":"N. Leonardo Matos","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"N. Leonardo Matos","raw_affiliation_strings":["Computer Science Department, UFS, Sao Cristovao, BRA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, UFS, Sao Cristovao, BRA","institution_ids":["https://openalex.org/I4210156583"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1205057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"163","issue":null,"first_page":"1","last_page":"8"},"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":0.9991999864578247,"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":0.9980999827384949,"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":0.766322135925293},{"id":"https://openalex.org/keywords/kernel-adaptive-filter","display_name":"Kernel adaptive filter","score":0.7407734394073486},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.6942858695983887},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6791738867759705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5910525918006897},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5819783806800842},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5619004368782043},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.5462472438812256},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5369619727134705},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4898497760295868},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4732269048690796},{"id":"https://openalex.org/keywords/variable-kernel-density-estimation","display_name":"Variable kernel density estimation","score":0.46146705746650696},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.44220834970474243},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4218255579471588},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4013917148113251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3166564702987671},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30368322134017944},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.1406109631061554},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13990992307662964},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.10487782955169678},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.09689286351203918},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.05832469463348389}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.766322135925293},{"id":"https://openalex.org/C13107197","wikidata":"https://www.wikidata.org/wiki/Q6394192","display_name":"Kernel adaptive filter","level":4,"score":0.7407734394073486},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.6942858695983887},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6791738867759705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5910525918006897},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5819783806800842},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5619004368782043},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.5462472438812256},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5369619727134705},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4898497760295868},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4732269048690796},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.46146705746650696},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44220834970474243},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4218255579471588},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4013917148113251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3166564702987671},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30368322134017944},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.1406109631061554},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13990992307662964},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.10487782955169678},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.09689286351203918},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.05832469463348389},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2018.8488997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8488997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1530372899","https://openalex.org/W1560724230","https://openalex.org/W1984911166","https://openalex.org/W1986580492","https://openalex.org/W1999542175","https://openalex.org/W2011197824","https://openalex.org/W2038619475","https://openalex.org/W2038977320","https://openalex.org/W2044209430","https://openalex.org/W2071820974","https://openalex.org/W2096915734","https://openalex.org/W2120315477","https://openalex.org/W2128115636","https://openalex.org/W2136600221","https://openalex.org/W2154561645","https://openalex.org/W2167932108","https://openalex.org/W2199011767","https://openalex.org/W2296348358","https://openalex.org/W2481926318","https://openalex.org/W2535526999","https://openalex.org/W2610805269","https://openalex.org/W2763884355","https://openalex.org/W2895674046","https://openalex.org/W3144619878","https://openalex.org/W4239240501","https://openalex.org/W6728901496"],"related_works":["https://openalex.org/W2201050717","https://openalex.org/W4319917433","https://openalex.org/W2901858402","https://openalex.org/W2977296457","https://openalex.org/W2101121116","https://openalex.org/W2381334782","https://openalex.org/W2336526268","https://openalex.org/W1595241965","https://openalex.org/W2354812741","https://openalex.org/W2901973666"],"abstract_inverted_index":{"Kernel":[0],"algorithms":[1,80],"have":[2,113],"been":[3,114],"proposed":[4],"to":[5,72],"solve":[6],"nonlinear":[7,16,150,159],"adaptive":[8,49,151],"filtering":[9,50,152],"problems,":[10],"as":[11,119,121],"for":[12],"many":[13],"machine":[14],"learning":[15,106],"issues.":[17],"However,":[18],"there":[19,100,141],"is":[20,96,138,142],"a":[21,61,68,102,134,158],"high":[22,76],"cost":[23,54,77,161],"associated":[24],"with":[25,51,67,74,128,133],"the":[26,29,34,40,44,65,75,82,85,91,94,105,109,117,146,154],"calculation":[27],"of":[28,64,81,84,90],"filter":[30],"output":[31],"coming":[32],"from":[33,98],"kernel":[35,48,79,155],"approach.":[36],"This":[37],"paper":[38],"revisits":[39],"KSIG,":[41,66],"which":[42,99],"improves":[43],"convergence":[45,88,147],"speed":[46,148],"in":[47,78,145,149],"an":[52,143],"even":[53,160],"function":[55],"(Sigmoid":[56],"Algorithm)":[57],"and":[58,93,108,132,157],"also":[59],"proposes":[60],"new":[62],"version":[63,125],"pre-tuned":[69,123,135],"dictionary":[70,124],"(KSIG-PTD),":[71],"deal":[73],"computation":[83],"output.":[86],"A":[87],"analysis":[89],"KSIG":[92,118],"KSIG-PTD":[95],"presented,":[97],"appears":[101],"relation":[103],"between":[104],"rate":[107],"algorithm's":[110],"convergence.":[111],"Experiments":[112],"conducted,":[115],"where":[116],"well":[120],"its":[122],"are":[126],"compared":[127],"KLMS":[129],"both":[130],"without":[131],"dictionary.":[136],"It":[137],"shown":[139],"that":[140],"increase":[144],"using":[153],"approach":[156],"function.":[162]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}