{"id":"https://openalex.org/W2984494170","doi":"https://doi.org/10.23919/eusipco.2019.8903013","title":"L<sub>0</sub>-Norm Adaptive Volterra Filters","display_name":"L<sub>0</sub>-Norm Adaptive Volterra Filters","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2984494170","doi":"https://doi.org/10.23919/eusipco.2019.8903013","mag":"2984494170"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2019.8903013","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8903013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5064616012","display_name":"Hamed Yazdanpanah","orcid":"https://orcid.org/0000-0002-7108-7866"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Hamed Yazdanpanah","raw_affiliation_strings":["Department of Computer Science, Institute of Mathematics and Statistics University of S\u00e3o Paulo (USP), S\u00e3o Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Institute of Mathematics and Statistics University of S\u00e3o Paulo (USP), S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061167441","display_name":"Alberto Carini","orcid":"https://orcid.org/0000-0003-4600-8123"},"institutions":[{"id":"https://openalex.org/I142444530","display_name":"University of Trieste","ror":"https://ror.org/02n742c10","country_code":"IT","type":"education","lineage":["https://openalex.org/I142444530"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alberto Carini","raw_affiliation_strings":["Department of Engineering and Architecture, University of Trieste, Trieste, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering and Architecture, University of Trieste, Trieste, Italy","institution_ids":["https://openalex.org/I142444530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042264974","display_name":"Markus V. S. Lima","orcid":"https://orcid.org/0000-0002-7333-025X"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Markus V. S. Lima","raw_affiliation_strings":["Department of Electrical Engineering PEE/COPPE, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering PEE/COPPE, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9987999796867371,"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":0.996999979019165,"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/norm","display_name":"Norm (philosophy)","score":0.6780286431312561},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4619719088077545},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38227859139442444},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3748745322227478},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.319071888923645}],"concepts":[{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.6780286431312561},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4619719088077545},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38227859139442444},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3748745322227478},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.319071888923645},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/eusipco.2019.8903013","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8903013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:arts.units.it:11368/2954542","is_oa":false,"landing_page_url":"http://hdl.handle.net/11368/2954542","pdf_url":null,"source":{"id":"https://openalex.org/S4306400480","display_name":"ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142444530","host_organization_name":"University of Trieste","host_organization_lineage":["https://openalex.org/I142444530"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W143004564","https://openalex.org/W340244495","https://openalex.org/W583903863","https://openalex.org/W1538882755","https://openalex.org/W1544576535","https://openalex.org/W1552124658","https://openalex.org/W1591007628","https://openalex.org/W1964258299","https://openalex.org/W1964934788","https://openalex.org/W2027052808","https://openalex.org/W2063675264","https://openalex.org/W2080660593","https://openalex.org/W2081435593","https://openalex.org/W2100068253","https://openalex.org/W2107861471","https://openalex.org/W2124622260","https://openalex.org/W2126927871","https://openalex.org/W2153966940","https://openalex.org/W2167577940","https://openalex.org/W2185765164","https://openalex.org/W2293909378","https://openalex.org/W2554058705","https://openalex.org/W2564016527","https://openalex.org/W2593805793","https://openalex.org/W2783893928","https://openalex.org/W2897161358","https://openalex.org/W2901865033","https://openalex.org/W3099579977","https://openalex.org/W4210475733","https://openalex.org/W4233029293","https://openalex.org/W4235713725","https://openalex.org/W4300263211","https://openalex.org/W6633234123","https://openalex.org/W6641216724"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2051487156","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027"],"abstract_inverted_index":{"The":[0],"paper":[1],"addresses":[2],"adaptive":[3,97],"algorithms":[4],"for":[5],"Volterra":[6],"filter":[7],"identification":[8],"capable":[9],"of":[10,14,24,50],"exploiting":[11],"the":[12,18,25,39,51,60,67,95],"sparsity":[13],"nonlinear":[15],"systems.":[16],"While":[17],"l":[19,52,68,76,109],"<sub":[20,53,69,77,110],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[21,54,70,78,111],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[22,112],"-norm":[23,72,80,113],"coefficient":[26],"vector":[27],"is":[28,63,84],"often":[29],"employed":[30],"to":[31,65,74],"promote":[32],"sparsity,":[33],"it":[34],"has":[35],"been":[36],"shown":[37,85],"in":[38,57,103],"literature":[40],"that":[41,94],"superior":[42],"results":[43],"can":[44,99],"be":[45],"achieved":[46],"using":[47],"an":[48],"approximation":[49],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">0</sub>":[55,71,79],"-norm.Thus,":[56],"this":[58],"paper,":[59],"Geman-McClure":[61],"function":[62],"adopted":[64],"approximate":[66],"and":[73,108],"derive":[75],"adaptiveVolterra":[81],"filters.":[82],"It":[83],"through":[86],"experimental":[87],"results,":[88],"also":[89],"involving":[90],"a":[91],"real-world":[92],"system,":[93],"proposed":[96],"filters":[98],"obtain":[100],"improved":[101],"performance":[102],"comparison":[104],"with":[105],"classical":[106],"approaches":[107],"solutions.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2019-11-22T00:00:00"}