{"id":"https://openalex.org/W2562221653","doi":"https://doi.org/10.1109/eusipco.2016.7760623","title":"LMS estimation of signals defined over graphs","display_name":"LMS estimation of signals defined over graphs","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2562221653","doi":"https://doi.org/10.1109/eusipco.2016.7760623","mag":"2562221653"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2016.7760623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2016.7760623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th European Signal Processing Conference (EUSIPCO)","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/A5000852147","display_name":"Paolo Di Lorenzo","orcid":"https://orcid.org/0000-0002-4130-3177"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Paolo Di Lorenzo","raw_affiliation_strings":["Department of Engineering, University of Perugia, Perugia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084159640","display_name":"Sergio Barbarossa","orcid":"https://orcid.org/0000-0001-9846-8741"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sergio Barbarossa","raw_affiliation_strings":["Department of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016153147","display_name":"Paolo Banelli","orcid":"https://orcid.org/0000-0002-0004-6370"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Banelli","raw_affiliation_strings":["Department of Engineering, University of Perugia, Perugia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043691564","display_name":"Stefania Sardellitti","orcid":"https://orcid.org/0000-0002-4749-2933"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefania Sardellitti","raw_affiliation_strings":["Department of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000852147"],"corresponding_institution_ids":["https://openalex.org/I27483092"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08756885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2121","last_page":"2125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.6191776394844055},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5150296688079834},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.49961113929748535},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4728173017501831},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.4687516689300537},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.46022871136665344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.272097647190094},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23860237002372742},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.19239485263824463},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17181453108787537},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12082615494728088}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6191776394844055},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5150296688079834},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.49961113929748535},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4728173017501831},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.4687516689300537},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.46022871136665344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.272097647190094},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23860237002372742},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.19239485263824463},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17181453108787537},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12082615494728088}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/eusipco.2016.7760623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2016.7760623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/958810","is_oa":false,"landing_page_url":"http://hdl.handle.net/11573/958810","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1505479093","https://openalex.org/W1540550726","https://openalex.org/W1690143098","https://openalex.org/W1990488619","https://openalex.org/W1991252559","https://openalex.org/W2024457004","https://openalex.org/W2030643321","https://openalex.org/W2095414057","https://openalex.org/W2101491865","https://openalex.org/W2119699244","https://openalex.org/W2161763921","https://openalex.org/W2215668387","https://openalex.org/W2277516712","https://openalex.org/W2473995246","https://openalex.org/W2610805269","https://openalex.org/W2963933777","https://openalex.org/W3098927376"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2102148524","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2314720829","https://openalex.org/W2989452537","https://openalex.org/W2052122378"],"abstract_inverted_index":{"The":[0],"aim":[1],"of":[2,17,42,51,57,67,102],"this":[3],"paper":[4],"is":[5],"to":[6,26,73],"propose":[7],"a":[8,30,48,55],"least":[9],"mean":[10,61],"squares":[11],"(LMS)":[12],"strategy":[13,98],"for":[14,76,81,99],"adaptive":[15],"estimation":[16,101],"signals":[18],"defined":[19],"over":[20,29,54],"graphs.":[21],"Assuming":[22],"the":[23,33,65,68,92,96],"graph":[24,82,104],"signal":[25],"be":[27],"band-limited,":[28],"known":[31],"bandwidth,":[32],"method":[34],"enables":[35],"reconstruction,":[36],"with":[37],"guaranteed":[38],"performance":[39,66],"in":[40],"terms":[41],"mean-square":[43],"error,":[44],"and":[45,71,90],"tracking":[46],"from":[47],"limited":[49],"number":[50],"observations":[52],"sampled":[53],"subset":[56],"vertices.":[58],"A":[59],"detailed":[60],"square":[62],"analysis":[63],"provides":[64],"proposed":[69,97],"method,":[70],"leads":[72],"several":[74],"insights":[75],"designing":[77],"useful":[78],"sampling":[79],"strategies":[80],"signals.":[83,105],"Numerical":[84],"results":[85],"validate":[86],"our":[87],"theoretical":[88],"findings,":[89],"illustrate":[91],"advantages":[93],"achieved":[94],"by":[95],"online":[100],"band-limited":[103]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
