{"id":"https://openalex.org/W3043822070","doi":"https://doi.org/10.1109/iwssip48289.2020.9145102","title":"Recent Advances in Overcoming the Independence Assumption in Adaptive Filtering Analyses","display_name":"Recent Advances in Overcoming the Independence Assumption in Adaptive Filtering Analyses","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3043822070","doi":"https://doi.org/10.1109/iwssip48289.2020.9145102","mag":"3043822070"},"language":"en","primary_location":{"id":"doi:10.1109/iwssip48289.2020.9145102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip48289.2020.9145102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Systems, Signals and Image Processing (IWSSIP)","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/A5044444393","display_name":"Thiago T. P. Silva","orcid":null},"institutions":[{"id":"https://openalex.org/I158509141","display_name":"Federal Center for Technological Education Celso Suckow da Fonseca","ror":"https://ror.org/03j8tnm47","country_code":"BR","type":"education","lineage":["https://openalex.org/I1293487690","https://openalex.org/I158509141","https://openalex.org/I2801200668"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Thiago T. P. Silva","raw_affiliation_strings":["CEFET/RJ, Brazil"],"affiliations":[{"raw_affiliation_string":"CEFET/RJ, Brazil","institution_ids":["https://openalex.org/I158509141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055952803","display_name":"Pedro Lara","orcid":"https://orcid.org/0000-0001-8722-7723"},"institutions":[{"id":"https://openalex.org/I158509141","display_name":"Federal Center for Technological Education Celso Suckow da Fonseca","ror":"https://ror.org/03j8tnm47","country_code":"BR","type":"education","lineage":["https://openalex.org/I1293487690","https://openalex.org/I158509141","https://openalex.org/I2801200668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Pedro Lara","raw_affiliation_strings":["CEFET/RJ, Brazil"],"affiliations":[{"raw_affiliation_string":"CEFET/RJ, Brazil","institution_ids":["https://openalex.org/I158509141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001309636","display_name":"Thiago Gonzaga","orcid":"https://orcid.org/0000-0001-7365-3676"},"institutions":[{"id":"https://openalex.org/I158509141","display_name":"Federal Center for Technological Education Celso Suckow da Fonseca","ror":"https://ror.org/03j8tnm47","country_code":"BR","type":"education","lineage":["https://openalex.org/I1293487690","https://openalex.org/I158509141","https://openalex.org/I2801200668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Thiago Gonzaga","raw_affiliation_strings":["CEFET/RJ, Brazil"],"affiliations":[{"raw_affiliation_string":"CEFET/RJ, Brazil","institution_ids":["https://openalex.org/I158509141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091691173","display_name":"Diego Brand\u00e3o","orcid":"https://orcid.org/0000-0003-3874-784X"},"institutions":[{"id":"https://openalex.org/I158509141","display_name":"Federal Center for Technological Education Celso Suckow da Fonseca","ror":"https://ror.org/03j8tnm47","country_code":"BR","type":"education","lineage":["https://openalex.org/I1293487690","https://openalex.org/I158509141","https://openalex.org/I2801200668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Diego Brandao","raw_affiliation_strings":["CEFET/RJ, Brazil"],"affiliations":[{"raw_affiliation_string":"CEFET/RJ, Brazil","institution_ids":["https://openalex.org/I158509141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044901219","display_name":"Lu\u00eds Tarrataca","orcid":"https://orcid.org/0000-0001-9359-5143"},"institutions":[{"id":"https://openalex.org/I158509141","display_name":"Federal Center for Technological Education Celso Suckow da Fonseca","ror":"https://ror.org/03j8tnm47","country_code":"BR","type":"education","lineage":["https://openalex.org/I1293487690","https://openalex.org/I158509141","https://openalex.org/I2801200668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luis Tarrataca","raw_affiliation_strings":["CEFET/RJ, Brazil"],"affiliations":[{"raw_affiliation_string":"CEFET/RJ, Brazil","institution_ids":["https://openalex.org/I158509141"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047733466","display_name":"Diego B. Haddad","orcid":"https://orcid.org/0000-0002-7634-5481"},"institutions":[{"id":"https://openalex.org/I158509141","display_name":"Federal Center for Technological Education Celso Suckow da Fonseca","ror":"https://ror.org/03j8tnm47","country_code":"BR","type":"education","lineage":["https://openalex.org/I1293487690","https://openalex.org/I158509141","https://openalex.org/I2801200668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Diego B. Haddad","raw_affiliation_strings":["CEFET/RJ, Brazil"],"affiliations":[{"raw_affiliation_string":"CEFET/RJ, Brazil","institution_ids":["https://openalex.org/I158509141"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5044444393"],"corresponding_institution_ids":["https://openalex.org/I158509141"],"apc_list":null,"apc_paid":null,"fwci":0.1515,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.42277814,"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":"317","last_page":"322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998000264167786,"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":0.9966999888420105,"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/independence","display_name":"Independence (probability theory)","score":0.7859651446342468},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6971085667610168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6475179195404053},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5858191251754761},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5249143242835999},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.49835872650146484},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4822990894317627},{"id":"https://openalex.org/keywords/ideal","display_name":"Ideal (ethics)","score":0.41613009572029114},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41559818387031555},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4001810550689697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3760167956352234},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34347420930862427},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2700963616371155},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09966611862182617},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09623709321022034}],"concepts":[{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.7859651446342468},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6971085667610168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6475179195404053},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5858191251754761},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5249143242835999},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.49835872650146484},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4822990894317627},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.41613009572029114},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41559818387031555},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4001810550689697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3760167956352234},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34347420930862427},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2700963616371155},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09966611862182617},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09623709321022034},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/iwssip48289.2020.9145102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip48289.2020.9145102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W87496662","https://openalex.org/W1508996461","https://openalex.org/W1553032475","https://openalex.org/W2001727706","https://openalex.org/W2097485655","https://openalex.org/W2119647652","https://openalex.org/W2124019122","https://openalex.org/W2127635072","https://openalex.org/W2142340551","https://openalex.org/W2145815107","https://openalex.org/W2160787451","https://openalex.org/W2169394990","https://openalex.org/W2298057126","https://openalex.org/W2317469230","https://openalex.org/W2503743092","https://openalex.org/W2766359152","https://openalex.org/W2896672256","https://openalex.org/W2900151931","https://openalex.org/W2905233109","https://openalex.org/W2937246321","https://openalex.org/W2963650899","https://openalex.org/W2971844163","https://openalex.org/W2980325782","https://openalex.org/W2982095760","https://openalex.org/W3019527166","https://openalex.org/W4236087597","https://openalex.org/W6770052651"],"related_works":["https://openalex.org/W3125750421","https://openalex.org/W2383873009","https://openalex.org/W2590472383","https://openalex.org/W2393580911","https://openalex.org/W4236696095","https://openalex.org/W2212184297","https://openalex.org/W3143779693","https://openalex.org/W3207130397","https://openalex.org/W3156456913","https://openalex.org/W2626808643"],"abstract_inverted_index":{"One":[0],"important":[1],"strength":[2],"of":[3,61,79,104,111,156],"adaptive":[4,89,173],"filtering":[5],"algorithms":[6],"is":[7,81,116,142,166,178],"their":[8,13,26],"ability":[9],"to":[10,35,37,71,151,176],"learn":[11],"from":[12,94],"interactions":[14],"with":[15,22],"the":[16,38,48,58,73,82,88,95,102,105,109,127,157,163,169,172],"environment.":[17],"Such":[18,98],"a":[19,23,117,123,153],"flexibility":[20],"comes":[21],"price,":[24],"since":[25],"performance":[27,45],"strongly":[28],"depends":[29],"on":[30,53],"adjustable":[31],"parameters.":[32],"In":[33,138],"order":[34],"provide":[36],"designer":[39],"guidelines":[40],"and":[41,46,168],"guaranties":[42],"for":[43],"both":[44],"stability,":[47],"open":[49],"literature":[50],"often":[51],"relies":[52],"stochastic":[54],"models":[55],"that":[56,87,125,144],"predict":[57],"learning":[59],"capabilities":[60],"different":[62],"algorithms.":[63],"Unfortunately,":[64],"usually":[65],"some":[66,136],"statistical":[67],"hypotheses":[68],"are":[69,91],"assumed":[70],"make":[72],"mathematics":[74],"tractable.":[75],"The":[76],"most":[77],"critical":[78],"them":[80],"independence":[83,128],"assumption,":[84,129],"which":[85,115],"states":[86],"coefficients":[90],"statistically":[92],"independent":[93],"excitation":[96],"data.":[97],"an":[99],"assumption":[100],"hampers":[101],"accuracy":[103],"theoretical":[106],"predictions":[107],"in":[108,120],"case":[110],"large":[112],"step":[113],"sizes,":[114],"common":[118],"choice":[119],"practice.":[121],"Fortunately,":[122],"technique":[124],"avoids":[126],"respectively":[130],"exact":[131],"expectation":[132],"analysis,":[133],"has":[134],"experienced":[135],"advances.":[137],"this":[139],"paper,":[140],"it":[141],"demonstrated":[143],"such":[145],"recent":[146],"advances":[147],"can":[148],"be":[149],"used":[150],"address":[152],"complex":[154],"configuration":[155],"least":[158],"mean":[159],"squares":[160],"algorithm,":[161],"where":[162],"additive":[164],"noise":[165],"colored":[167],"ideal":[170],"plant":[171],"scheme":[174],"intends":[175],"estimate":[177],"nonlinear.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}