{"id":"https://openalex.org/W2145507565","doi":"https://doi.org/10.1109/icassp.2014.6855150","title":"Perfect periodic sequences for identification of even mirror fourier nonlinear filters","display_name":"Perfect periodic sequences for identification of even mirror fourier nonlinear filters","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2145507565","doi":"https://doi.org/10.1109/icassp.2014.6855150","mag":"2145507565"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6855150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6855150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5061167441","display_name":"Alberto Carini","orcid":"https://orcid.org/0000-0003-4600-8123"},"institutions":[{"id":"https://openalex.org/I190397597","display_name":"University of Urbino","ror":"https://ror.org/04q4kt073","country_code":"IT","type":"education","lineage":["https://openalex.org/I190397597"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alberto Carini","raw_affiliation_strings":["DiSBeF, University of Urbino, Italy","DiSBeF, University of Urbino Urbino Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DiSBeF, University of Urbino, Italy","institution_ids":["https://openalex.org/I190397597"]},{"raw_affiliation_string":"DiSBeF, University of Urbino Urbino Italy","institution_ids":["https://openalex.org/I190397597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020166180","display_name":"Giovanni L. Sicuranza","orcid":"https://orcid.org/0000-0003-2225-280X"},"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":"Giovanni L. Sicuranza","raw_affiliation_strings":["DIA, University of Trieste, Italy","DIA\u2014University of Trieste, Trieste, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIA, University of Trieste, Italy","institution_ids":["https://openalex.org/I142444530"]},{"raw_affiliation_string":"DIA\u2014University of Trieste, Trieste, Italy","institution_ids":["https://openalex.org/I142444530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"7959","last_page":"7963"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T11236","display_name":"Control Systems and Identification","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9936000108718872,"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":0.9930999875068665,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.8041669130325317},{"id":"https://openalex.org/keywords/fourier-series","display_name":"Fourier series","score":0.6504037380218506},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.6097590327262878},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5441478490829468},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5292847752571106},{"id":"https://openalex.org/keywords/nonlinear-filter","display_name":"Nonlinear filter","score":0.5211891531944275},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5202978253364563},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.5107197761535645},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4590543508529663},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.44218647480010986},{"id":"https://openalex.org/keywords/nonlinear-system-identification","display_name":"Nonlinear system identification","score":0.4280531406402588},{"id":"https://openalex.org/keywords/periodic-function","display_name":"Periodic function","score":0.41913220286369324},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.3481554388999939},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32028770446777344},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.30159080028533936},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.21732082962989807},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12075051665306091},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11940732598304749},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.05823624134063721}],"concepts":[{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.8041669130325317},{"id":"https://openalex.org/C207864730","wikidata":"https://www.wikidata.org/wiki/Q179467","display_name":"Fourier series","level":2,"score":0.6504037380218506},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.6097590327262878},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5441478490829468},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5292847752571106},{"id":"https://openalex.org/C137685913","wikidata":"https://www.wikidata.org/wiki/Q4316763","display_name":"Nonlinear filter","level":4,"score":0.5211891531944275},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5202978253364563},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.5107197761535645},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4590543508529663},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.44218647480010986},{"id":"https://openalex.org/C22157029","wikidata":"https://www.wikidata.org/wiki/Q17080460","display_name":"Nonlinear system identification","level":4,"score":0.4280531406402588},{"id":"https://openalex.org/C98644592","wikidata":"https://www.wikidata.org/wiki/Q184743","display_name":"Periodic function","level":2,"score":0.41913220286369324},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.3481554388999939},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32028770446777344},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.30159080028533936},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.21732082962989807},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12075051665306091},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11940732598304749},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.05823624134063721},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2014.6855150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6855150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arts.units.it:11368/2933913","is_oa":false,"landing_page_url":"http://hdl.handle.net/11368/2933913","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"},{"id":"pmh:oai:ora.uniurb.it:11576/2608227","is_oa":false,"landing_page_url":"http://hdl.handle.net/11576/2608227","pdf_url":null,"source":{"id":"https://openalex.org/S4377196377","display_name":"CINECA IRIS Institutional Research information system (University of Urbino)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190397597","host_organization_name":"University of Urbino","host_organization_lineage":["https://openalex.org/I190397597"],"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":[{"score":0.4099999964237213,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W90857013","https://openalex.org/W587742752","https://openalex.org/W1500470240","https://openalex.org/W1557398366","https://openalex.org/W1557449798","https://openalex.org/W1557763444","https://openalex.org/W1607595969","https://openalex.org/W1965130726","https://openalex.org/W1987707771","https://openalex.org/W1992045599","https://openalex.org/W2012589841","https://openalex.org/W2012662725","https://openalex.org/W2034319233","https://openalex.org/W2035100132","https://openalex.org/W2035568470","https://openalex.org/W2052384107","https://openalex.org/W2070783909","https://openalex.org/W2097415784","https://openalex.org/W2102380305","https://openalex.org/W2104650154","https://openalex.org/W2118710415","https://openalex.org/W2120912384","https://openalex.org/W2127682182","https://openalex.org/W2129792960","https://openalex.org/W2129796157","https://openalex.org/W2130734626","https://openalex.org/W2142635246","https://openalex.org/W2153018218","https://openalex.org/W2168175751","https://openalex.org/W2499601348","https://openalex.org/W2595897327","https://openalex.org/W3097169496","https://openalex.org/W4236383456","https://openalex.org/W6633487022","https://openalex.org/W6633509592","https://openalex.org/W6681236446","https://openalex.org/W6983770967","https://openalex.org/W7015616434"],"related_works":["https://openalex.org/W2152282424","https://openalex.org/W64975823","https://openalex.org/W2091914113","https://openalex.org/W564324191","https://openalex.org/W176335707","https://openalex.org/W2021395081","https://openalex.org/W1981380696","https://openalex.org/W4386033416","https://openalex.org/W2004841036","https://openalex.org/W1490020332"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"consider":[4],"the":[5,20,85,89,98,103,118,126,129],"identification":[6,119],"of":[7,10,102,120,128],"a":[8,45,58,121],"class":[9],"linear-in-the":[11],"parameters":[12],"nonlinear":[13,25,46,74,82,104,123],"filters":[14],"that":[15,29,96],"has":[16],"been":[17],"recently":[18],"introduced,":[19],"so-called":[21],"even":[22,71],"mirror":[23,72],"Fourier":[24,73],"filters.":[26,38],"We":[27],"show":[28],"perfect":[30,43,64],"periodic":[31,40,65],"sequences":[32,66],"can":[33,111],"be":[34,112],"derived":[35],"for":[36,44],"these":[37],"A":[39],"sequence":[41],"is":[42,77],"filter":[47],"if":[48],"all":[49],"cross-correlations":[50],"between":[51],"two":[52],"different":[53],"basis":[54,92],"functions,":[55,93],"estimated":[56],"over":[57],"period,":[59],"are":[60],"zero.":[61],"By":[62],"applying":[63],"as":[67],"input":[68],"signals":[69],"to":[70,79,107],"filters,":[75],"it":[76],"possible":[78],"model":[80],"unknown":[81],"systems":[83],"exploiting":[84],"cross-correlation":[86],"method.":[87],"Then,":[88],"most":[90,99],"relevant":[91],"i.e.,":[94],"those":[95],"guarantee":[97],"compact":[100],"representation":[101],"system":[105,124],"according":[106],"some":[108],"information":[109],"criterion,":[110],"easily":[113],"estimated.":[114],"Experimental":[115],"results":[116],"on":[117],"real":[122],"illustrate":[125],"effectiveness":[127],"proposed":[130],"approach.":[131]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}