{"id":"https://openalex.org/W2157879939","doi":"https://doi.org/10.1109/tsp.2011.2160858","title":"Group-Lasso on Splines for Spectrum Cartography","display_name":"Group-Lasso on Splines for Spectrum Cartography","publication_year":2011,"publication_date":"2011-06-29","ids":{"openalex":"https://openalex.org/W2157879939","doi":"https://doi.org/10.1109/tsp.2011.2160858","mag":"2157879939"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2011.2160858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.2160858","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1010.0274","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029019906","display_name":"Juan Andr\u00e9s Bazerque","orcid":"https://orcid.org/0000-0001-9950-1208"},"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":true,"raw_author_name":"Juan Andr\u00e9s Bazerque","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006078163","display_name":"Gonzalo Mateos","orcid":"https://orcid.org/0000-0002-9847-6298"},"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":"Gonzalo Mateos","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"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 Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029019906"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":10.5665,"has_fulltext":false,"cited_by_count":163,"citation_normalized_percentile":{"value":0.9883937,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"59","issue":"10","first_page":"4648","last_page":"4663"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9993000030517578,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9993000030517578,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9904000163078308,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9782000184059143,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7451300621032715},{"id":"https://openalex.org/keywords/basis-function","display_name":"Basis function","score":0.6529395580291748},{"id":"https://openalex.org/keywords/spline","display_name":"Spline (mechanical)","score":0.6245847344398499},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5087612271308899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4950369894504547},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4865052103996277},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43837568163871765},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.41549235582351685},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4109882712364197},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37040019035339355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.350749671459198},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.24452397227287292},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11440157890319824},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11413517594337463}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7451300621032715},{"id":"https://openalex.org/C5917680","wikidata":"https://www.wikidata.org/wiki/Q2621825","display_name":"Basis function","level":2,"score":0.6529395580291748},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.6245847344398499},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5087612271308899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4950369894504547},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4865052103996277},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43837568163871765},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.41549235582351685},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4109882712364197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37040019035339355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.350749671459198},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.24452397227287292},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11440157890319824},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11413517594337463},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsp.2011.2160858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.2160858","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1010.0274","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1010.0274","pdf_url":"https://arxiv.org/pdf/1010.0274","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.701.6053","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.701.6053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ece.rochester.edu/%7Egmateosb/pubs/splines/Splines_TSP.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1010.0274","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1010.0274","pdf_url":"https://arxiv.org/pdf/1010.0274","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W55912154","https://openalex.org/W1480376833","https://openalex.org/W1603765807","https://openalex.org/W1825073837","https://openalex.org/W1931583310","https://openalex.org/W1973741051","https://openalex.org/W1973948212","https://openalex.org/W1986931325","https://openalex.org/W1994416893","https://openalex.org/W2003410902","https://openalex.org/W2011940832","https://openalex.org/W2020925091","https://openalex.org/W2039050532","https://openalex.org/W2040296279","https://openalex.org/W2056894411","https://openalex.org/W2063978378","https://openalex.org/W2068529368","https://openalex.org/W2070094080","https://openalex.org/W2080726496","https://openalex.org/W2096840836","https://openalex.org/W2099969214","https://openalex.org/W2100556411","https://openalex.org/W2103283605","https://openalex.org/W2106398669","https://openalex.org/W2106915027","https://openalex.org/W2107861471","https://openalex.org/W2108924122","https://openalex.org/W2113459652","https://openalex.org/W2115003579","https://openalex.org/W2124590431","https://openalex.org/W2126607811","https://openalex.org/W2127040151","https://openalex.org/W2130859329","https://openalex.org/W2136818440","https://openalex.org/W2138019504","https://openalex.org/W2138601842","https://openalex.org/W2142058898","https://openalex.org/W2144010578","https://openalex.org/W2146482778","https://openalex.org/W2146766088","https://openalex.org/W2150742808","https://openalex.org/W2151565294","https://openalex.org/W2162266217","https://openalex.org/W2166163519","https://openalex.org/W2171490473","https://openalex.org/W2172960773","https://openalex.org/W2593996946","https://openalex.org/W2610335499","https://openalex.org/W2787894218","https://openalex.org/W3105034597","https://openalex.org/W3140440502","https://openalex.org/W4238943743","https://openalex.org/W4254908249","https://openalex.org/W4298222310","https://openalex.org/W4298304654","https://openalex.org/W4298876635"],"related_works":["https://openalex.org/W2559261346","https://openalex.org/W4280609833","https://openalex.org/W1973979964","https://openalex.org/W4235820682","https://openalex.org/W185479762","https://openalex.org/W2136943174","https://openalex.org/W2095246866","https://openalex.org/W4246064491","https://openalex.org/W2131662362","https://openalex.org/W2922512599"],"abstract_inverted_index":{"The":[0,56,193],"unceasing":[1],"demand":[2],"for":[3,8,153,258],"continuous":[4],"situational":[5],"awareness":[6],"calls":[7],"innovative":[9],"and":[10,18,29,222,226,263],"large-scale":[11],"signal":[12],"processing":[13],"algorithms,":[14],"complemented":[15],"by":[16,62,91,199],"collaborative":[17],"adaptive":[19],"sensing":[20,28,209],"platforms":[21],"to":[22,41,123,169,184,213],"accomplish":[23],"the":[24,34,52,67,98,114,118,121,133,142,154,157,171,186,215,233,240,246],"objectives":[25],"of":[26,51,54,100,104,127,146,156,177,188,208,217],"layered":[27],"control.":[30],"Towards":[31],"this":[32,147],"goal,":[33],"present":[35],"paper":[36,148],"develops":[37],"a":[38,47,79,110,125,150,175,189,200,206],"spline-based":[39,144,195],"approach":[40,196],"field":[42,53,73,137],"estimation,":[43],"which":[44,205],"relies":[45],"on":[46,78,228],"basis":[48,107],"expansion":[49],"model":[50,57],"interest.":[55],"entails":[58],"known":[59],"bases,":[60],"weighted":[61],"generic":[63],"functions":[64],"estimated":[65,234],"from":[66],"field's":[68],"noisy":[69],"samples.":[70],"A":[71,163],"novel":[72,194],"estimator":[74,119,152,173],"is":[75,166,197],"developed":[76,168],"based":[77],"regularized":[80],"variational":[81],"least-squares":[82],"(LS)":[83],"criterion":[84],"that":[85,130,232],"yields":[86,239],"finite-dimensional":[87],"(function)":[88],"estimates":[89],"spanned":[90],"thin-plate":[92,158],"splines.":[93],"Robustness":[94],"considerations":[95],"motivate":[96],"well":[97],"adoption":[99],"an":[101],"overcomplete":[102],"set":[103,207],"(possibly":[105],"overlapping)":[106],"functions,":[108],"while":[109],"sparsifying":[111],"regularizer":[112],"augmenting":[113],"LS":[115],"cost":[116],"endows":[117],"with":[120],"ability":[122],"select":[124],"few":[126],"these":[128],"bases":[129],"\u201cbetter\u201d":[131],"explain":[132],"data.":[134],"This":[135],"parsimonious":[136],"representation":[138],"becomes":[139],"possible,":[140],"because":[141],"sparsity-aware":[143],"method":[145],"induces":[149],"group-Lasso":[151,172],"coefficients":[155],"spline":[159],"expansions":[160],"per":[161],"basis.":[162],"distributed":[164],"algorithm":[165],"also":[167],"obtain":[170],"using":[174,181],"network":[176],"wireless":[178],"sensors,":[179],"or,":[180],"multiple":[182],"processors":[183],"balance":[185],"load":[187],"single":[190],"computational":[191],"unit.":[192],"motivated":[198],"spectrum":[201,236],"cartography":[202],"application,":[203],"in":[204,220],"cognitive":[210],"radios":[211],"collaborate":[212],"estimate":[214],"distribution":[216],"RF":[218,242],"power":[219,235],"space":[221],"frequency.":[223],"Computer":[224],"simulations":[225],"tests":[227],"real":[229],"data":[230],"corroborate":[231],"density":[237],"atlas":[238],"desired":[241],"state":[243],"awareness,":[244],"since":[245],"maps":[247],"reveal":[248],"spatial":[249],"locations":[250],"where":[251],"idle":[252],"frequency":[253],"bands":[254],"can":[255],"be":[256],"reused":[257],"transmission,":[259],"even":[260],"when":[261],"fading":[262],"shadowing":[264],"effects":[265],"are":[266],"pronounced.":[267]},"counts_by_year":[{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":11},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
