{"id":"https://openalex.org/W2114595096","doi":"https://doi.org/10.1109/icassp.2009.4960316","title":"RLS-weighted Lasso for adaptive estimation of sparse signals","display_name":"RLS-weighted Lasso for adaptive estimation of sparse signals","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2114595096","doi":"https://doi.org/10.1109/icassp.2009.4960316","mag":"2114595096"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4960316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5055794224","display_name":"Daniele Angelosante","orcid":"https://orcid.org/0000-0001-6570-6256"},"institutions":[{"id":"https://openalex.org/I186995768","display_name":"Universit\u00e0 degli studi di Cassino e del Lazio Meridionale","ror":"https://ror.org/04nxkaq16","country_code":"IT","type":"education","lineage":["https://openalex.org/I186995768"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele Angelosante","raw_affiliation_strings":["Universit\u00e0 degli studi di Cassino, Cassino, Frosinone, Italy","Universit\u00e0 degli studi di Cassino, Via Di Biasio, 43, 03043 (FR), Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e0 degli studi di Cassino, Cassino, Frosinone, Italy","institution_ids":["https://openalex.org/I186995768"]},{"raw_affiliation_string":"Universit\u00e0 degli studi di Cassino, Via Di Biasio, 43, 03043 (FR), Italy","institution_ids":["https://openalex.org/I186995768"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026758314","display_name":"Georgios B. Giannakis","orcid":"https://orcid.org/0000-0002-0196-0260"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Georgios B. Giannakis","raw_affiliation_strings":["Department of ECE, University of Minnesota, Minneapolis, MN, USA","University of Minnesota, Dept. of ECE, 200 Union Str. SE, Minneapolis, 55455, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"University of Minnesota, Dept. of ECE, 200 Union Str. SE, Minneapolis, 55455, USA#TAB#","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":45.1004,"has_fulltext":false,"cited_by_count":106,"citation_normalized_percentile":{"value":0.99891775,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3245","last_page":"3248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9807000160217285,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.963699996471405,"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/lasso","display_name":"Lasso (programming language)","score":0.8734345436096191},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6385282874107361},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6248300075531006},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.6087914109230042},{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.5614463090896606},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5324941873550415},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4276224374771118},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4229263365268707},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.41501113772392273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3343011736869812},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32881879806518555},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32658326625823975},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.22899764776229858},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.2057490348815918},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14407768845558167},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.09564521908760071}],"concepts":[{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.8734345436096191},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6385282874107361},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6248300075531006},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.6087914109230042},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.5614463090896606},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5324941873550415},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4276224374771118},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4229263365268707},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.41501113772392273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3343011736869812},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32881879806518555},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32658326625823975},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.22899764776229858},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.2057490348815918},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14407768845558167},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.09564521908760071},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2009.4960316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W250076511","https://openalex.org/W1525535255","https://openalex.org/W1965392255","https://openalex.org/W1986931325","https://openalex.org/W2020925091","https://openalex.org/W2040296279","https://openalex.org/W2056158525","https://openalex.org/W2074682976","https://openalex.org/W2078204800","https://openalex.org/W2114595096","https://openalex.org/W2129638195","https://openalex.org/W2135046866","https://openalex.org/W2150940164","https://openalex.org/W2163742397","https://openalex.org/W2997644599","https://openalex.org/W3105034597","https://openalex.org/W4255692904","https://openalex.org/W6677022306","https://openalex.org/W6682241100"],"related_works":["https://openalex.org/W2468272465","https://openalex.org/W2429564919","https://openalex.org/W757986597","https://openalex.org/W4212910148","https://openalex.org/W4213314600","https://openalex.org/W4210804200","https://openalex.org/W4285814086","https://openalex.org/W3123944750","https://openalex.org/W2787225985","https://openalex.org/W2954774635"],"abstract_inverted_index":{"The":[0,107],"batch":[1,39],"least-absolute":[2],"shrinkage":[3],"and":[4,35,122,133],"selection":[5],"operator":[6],"(Lasso)":[7],"has":[8],"well-documented":[9],"merits":[10],"for":[11],"estimating":[12,131],"sparse":[13,60,75,114],"signals":[14,61,115,136],"of":[15,62,89,93,126],"interest":[16],"emerging":[17],"in":[18,130],"various":[19],"applications,":[20],"where":[21],"observations":[22,45],"adhere":[23],"to":[24],"parsimonious":[25],"linear":[26],"regression":[27],"models.":[28],"To":[29],"cope":[30],"with":[31,98],"linearly":[32],"growing":[33],"complexity":[34],"memory":[36],"requirements":[37],"that":[38,55,67],"Lasso":[40,53,69,96,110],"estimators":[41],"face":[42],"when":[43],"processing":[44],"sequentially,":[46],"the":[47,74,87,94,102,124,127],"present":[48],"paper":[49],"develops":[50],"a":[51,90],"recursive":[52,68,95,103],"algorithm":[54,111],"can":[56,70],"also":[57],"track":[58],"slowly-varying":[59],"interest.":[63],"Performance":[64],"analysis":[65],"reveals":[66],"either":[71],"estimate":[72],"consistently":[73],"signal's":[76],"support":[77],"or":[78],"its":[79],"nonzero":[80],"entries,":[81],"but":[82],"not":[83],"both.":[84],"This":[85],"motivates":[86],"development":[88],"weighted":[91],"version":[92],"scheme":[97],"weights":[99],"obtained":[100],"from":[101],"least-squares":[104],"(RLS)":[105],"algorithm.":[106],"resultant":[108],"RLS-weighted":[109],"provably":[112],"estimates":[113],"consistently.":[116],"Simulated":[117],"tests":[118],"compare":[119],"competing":[120],"alternatives":[121],"corroborate":[123],"performance":[125],"novel":[128],"algorithms":[129],"time-invariant":[132],"tracking":[134],"slow-varying":[135],"under":[137],"sparsity":[138],"constraints.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":15},{"year":2012,"cited_by_count":7}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
