{"id":"https://openalex.org/W2035568470","doi":"https://doi.org/10.1109/icassp.2010.5495856","title":"Efficient NLMS and RLS algorithms for perfect periodic sequences","display_name":"Efficient NLMS and RLS algorithms for perfect periodic sequences","publication_year":2010,"publication_date":"2010-03-01","ids":{"openalex":"https://openalex.org/W2035568470","doi":"https://doi.org/10.1109/icassp.2010.5495856","mag":"2035568470"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5495856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","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/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":true,"raw_author_name":"Alberto Carini","raw_affiliation_strings":["STI, University of Urbino Carlo Bo, Urbino, Italy","STI - University of Urbino \u00bfCarlo Bo\u00bf, Piazza della Repubblica, 13 - 61029, Italy"],"affiliations":[{"raw_affiliation_string":"STI, University of Urbino Carlo Bo, Urbino, Italy","institution_ids":["https://openalex.org/I190397597"]},{"raw_affiliation_string":"STI - University of Urbino \u00bfCarlo Bo\u00bf, Piazza della Repubblica, 13 - 61029, Italy","institution_ids":["https://openalex.org/I190397597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061167441"],"corresponding_institution_ids":["https://openalex.org/I190397597"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.1271324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3746","last_page":"3749"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11447","display_name":"Blind Source Separation Techniques","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/T11236","display_name":"Control Systems and Identification","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7421737909317017},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6702355146408081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5679295659065247},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5511502623558044},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.5022411346435547},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49648529291152954},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.45821067690849304},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4560135006904602},{"id":"https://openalex.org/keywords/transient","display_name":"Transient (computer programming)","score":0.45457902550697327},{"id":"https://openalex.org/keywords/multiplication","display_name":"Multiplication (music)","score":0.42768943309783936},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26551151275634766},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.24875426292419434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1167115569114685}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7421737909317017},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6702355146408081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5679295659065247},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5511502623558044},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.5022411346435547},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49648529291152954},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.45821067690849304},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4560135006904602},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.45457902550697327},{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.42768943309783936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26551151275634766},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.24875426292419434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1167115569114685},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2010.5495856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:arts.units.it:11368/2933810","is_oa":false,"landing_page_url":"http://hdl.handle.net/11368/2933810","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":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:ora.uniurb.it:11576/2504008","is_oa":false,"landing_page_url":"http://hdl.handle.net/11576/2504008","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":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W90857013","https://openalex.org/W1607595969","https://openalex.org/W1820887785","https://openalex.org/W2012589841","https://openalex.org/W2066779753","https://openalex.org/W2132105090","https://openalex.org/W2144932012","https://openalex.org/W4206196235","https://openalex.org/W4285719527","https://openalex.org/W6983770967","https://openalex.org/W7015616434"],"related_works":["https://openalex.org/W3093936885","https://openalex.org/W2994146737","https://openalex.org/W295308437","https://openalex.org/W2992046671","https://openalex.org/W2106539092","https://openalex.org/W4205300683","https://openalex.org/W2084086966","https://openalex.org/W56570565","https://openalex.org/W2358137648","https://openalex.org/W334259611"],"abstract_inverted_index":{"The":[0,14,83],"paper":[1],"discusses":[2],"computationally":[3],"efficient":[4],"NLMS":[5,26,76],"and":[6,27,33,39,52,63,85],"RLS":[7,28],"algorithms":[8,20,29,60,91],"for":[9,31],"perfect":[10],"periodic":[11],"excitation":[12],"sequences.":[13],"most":[15],"interesting":[16],"aspect":[17],"of":[18,35,46,89],"these":[19],"is":[21,92],"that":[22,66],"they":[23,40],"are":[24],"exact":[25],"suitable":[30],"identification":[32],"tracking":[34,64],"every":[36],"linear":[37],"system":[38],"require":[41],"a":[42,48,53,79],"real-time":[43],"computational":[44],"effort":[45],"just":[47],"multiplication,":[49],"an":[50],"addition":[51],"subtraction":[54],"per":[55],"sample":[56],"time.":[57],"Moreover,":[58],"the":[59,75,90,96],"have":[61],"convergence":[62],"properties":[65],"can":[67],"be":[68],"comparable":[69],"to":[70],"or":[71],"even":[72],"better":[73],"than":[74],"algorithm":[77],"with":[78],"white":[80],"noise":[81],"input.":[82],"transient":[84],"steady":[86],"state":[87],"behavior":[88],"also":[93],"studied":[94],"in":[95],"paper.":[97]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}