{"id":"https://openalex.org/W2017096395","doi":"https://doi.org/10.1109/tit.2015.2396917","title":"Adaptive Sensing for Estimation of Structured Sparse Signals","display_name":"Adaptive Sensing for Estimation of Structured Sparse Signals","publication_year":2015,"publication_date":"2015-01-26","ids":{"openalex":"https://openalex.org/W2017096395","doi":"https://doi.org/10.1109/tit.2015.2396917","mag":"2017096395"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2015.2396917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2015.2396917","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Information Theory","raw_type":"journal-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/A5101555643","display_name":"Rui M. Castro","orcid":"https://orcid.org/0000-0003-4398-0718"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Rui M. Castro","raw_affiliation_strings":["Department of Mathematics, Eindhoven University of Technology, Eindhoven, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Eindhoven University of Technology, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085437736","display_name":"Ervin T\u00e1nczos","orcid":"https://orcid.org/0000-0002-2179-5514"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ervin Tanczos","raw_affiliation_strings":["Department of Mathematics, Eindhoven University of Technology, Eindhoven, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Eindhoven University of Technology, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":4.9791,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.95150179,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"61","issue":"4","first_page":"2060","last_page":"2080"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9944999814033508,"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"}},"topics":[{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9944999814033508,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9937000274658203,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.993399977684021,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7531605958938599},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.6126745343208313},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.606536865234375},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.527864396572113},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5104602575302124},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47861212491989136},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.42566072940826416},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3972499668598175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39529284834861755},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3755890727043152},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1397697627544403},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0838894248008728},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08128213882446289}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7531605958938599},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.6126745343208313},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.606536865234375},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.527864396572113},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5104602575302124},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47861212491989136},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.42566072940826416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3972499668598175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39529284834861755},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3755890727043152},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1397697627544403},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0838894248008728},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08128213882446289},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/tit.2015.2396917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2015.2396917","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Information Theory","raw_type":"journal-article"},{"id":"pmh:oai:pure.tue.nl:publications/4d42a868-8553-4e23-a917-ad48ea33eadd","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/4d42a868-8553-4e23-a917-ad48ea33eadd","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Castro, R M & T\u00e1nczos, E T 2015, 'Adaptive sensing for estimation of structured sparse signals', IEEE Transactions on Information Theory, vol. 61, no. 4, pp. 2060-2080. https://doi.org/10.1109/TIT.2015.2396917","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:789165","is_oa":false,"landing_page_url":"http://library.tue.nl/csp/dare/LinkToRepository.csp?recordnumber=789165","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"ISSN:0018-9448","raw_type":"Article / Letter to the editor"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.767.2716","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.767.2716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1311.7118.pdf","raw_type":"text"},{"id":"pmh:oai:library.tue.nl:789165","is_oa":false,"landing_page_url":"http://repository.tue.nl/789165","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"ISSN:0018-9448","raw_type":"Article / Letter to the editor"},{"id":"pmh:oai:pure.tue.nl:publications/3acb9d7d-a8bc-437c-a59a-0fd7a6d24670","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/3acb9d7d-a8bc-437c-a59a-0fd7a6d24670","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"","raw_type":""},{"id":"pmh:tue:oai:pure.tue.nl:publications/4d42a868-8553-4e23-a917-ad48ea33eadd","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/4d42a868-8553-4e23-a917-ad48ea33eadd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Information Theory, 61(4), 2060 - 2080. Institute of Electrical and Electronics Engineers","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G320215870","display_name":null,"funder_award_id":"613.001.114","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W53630002","https://openalex.org/W190546068","https://openalex.org/W1511694993","https://openalex.org/W1579375382","https://openalex.org/W1905655904","https://openalex.org/W1984238247","https://openalex.org/W2006452405","https://openalex.org/W2009660843","https://openalex.org/W2018338889","https://openalex.org/W2024011275","https://openalex.org/W2038946727","https://openalex.org/W2045030310","https://openalex.org/W2049704395","https://openalex.org/W2053424134","https://openalex.org/W2056707879","https://openalex.org/W2062896907","https://openalex.org/W2072157164","https://openalex.org/W2096336626","https://openalex.org/W2096613063","https://openalex.org/W2106447856","https://openalex.org/W2115404432","https://openalex.org/W2122496388","https://openalex.org/W2125295547","https://openalex.org/W2143521632","https://openalex.org/W2151120858","https://openalex.org/W2151596305","https://openalex.org/W2152457266","https://openalex.org/W2156540265","https://openalex.org/W2157826690","https://openalex.org/W2160828669","https://openalex.org/W2166043450","https://openalex.org/W2167770337","https://openalex.org/W2169948350","https://openalex.org/W2170341113","https://openalex.org/W2170707542","https://openalex.org/W2570764145","https://openalex.org/W2809541996","https://openalex.org/W2949071206","https://openalex.org/W2950833525","https://openalex.org/W2962796373","https://openalex.org/W2963121391","https://openalex.org/W2963213279","https://openalex.org/W2963852296","https://openalex.org/W2963912585","https://openalex.org/W2963917966","https://openalex.org/W2963923406","https://openalex.org/W3098676626","https://openalex.org/W3100537129","https://openalex.org/W3100951886","https://openalex.org/W3101471473","https://openalex.org/W3102106998","https://openalex.org/W3102366752","https://openalex.org/W3102480238","https://openalex.org/W3102974460","https://openalex.org/W3103111137","https://openalex.org/W3103154150","https://openalex.org/W3103871524","https://openalex.org/W3104928457","https://openalex.org/W3106056496","https://openalex.org/W4230704549","https://openalex.org/W4232896127","https://openalex.org/W4297975925","https://openalex.org/W4299823230","https://openalex.org/W6602165353","https://openalex.org/W6637590965","https://openalex.org/W6639815595","https://openalex.org/W6677246231","https://openalex.org/W6682291466","https://openalex.org/W6682455423","https://openalex.org/W6683391390","https://openalex.org/W6683495017","https://openalex.org/W6684673196","https://openalex.org/W6753286393"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2810730439","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2157715872","https://openalex.org/W2537887767","https://openalex.org/W158549694","https://openalex.org/W2092706821"],"abstract_inverted_index":{"In":[0,76,156],"many":[1],"practical":[2],"settings":[3],"one":[4,126],"can":[5,55],"sequentially":[6],"and":[7,49,59,66,117,140,175],"adaptively":[8],"guide":[9],"the":[10,81,85,96,121,130],"collection":[11,26],"of":[12,83,87,115,123,132],"future":[13],"data,":[14],"based":[15],"on":[16,143],"information":[17,145],"extracted":[18],"from":[19,92],"data":[20,25,47],"collected":[21],"previously.":[22],"These":[23],"sequential":[24,35],"procedures":[27],"are":[28],"known":[29],"by":[30],"different":[31],"names,":[32],"such":[33],"as":[34],"experimental":[36],"design,":[37],"active":[38],"learning,":[39],"or":[40],"adaptive":[41,52,97,124,164],"sensing/sampling.":[42],"The":[43],"intricate":[44],"relation":[45],"between":[46],"analysis":[48],"acquisition":[50],"in":[51,68,112,166],"sensing":[53,72,98,125,139,165,181],"paradigms":[54],"be":[56],"extremely":[57],"powerful,":[58],"often":[60],"allows":[61],"for":[62,105,179],"reliable":[63],"signal":[64,91],"estimation":[65,108],"detection":[67],"situations":[69],"where":[70],"nonadaptive":[71,138,154],"would":[73],"fail":[74],"dramatically.":[75],"this":[77],"paper,":[78],"we":[79,169],"investigate":[80],"problem":[82],"estimating":[84],"support":[86,106],"a":[88,102,113,147,159],"structured":[89,167],"sparse":[90],"coordinate-wise":[93],"observations":[94],"under":[95],"paradigm.":[99],"We":[100],"present":[101,170],"general":[103,160],"procedure":[104,161],"set":[107],"that":[109,119],"is":[110],"optimal":[111],"variety":[114],"cases":[116],"shows":[118],"through":[120],"use":[122],"can:":[127],"1)":[128],"mitigate":[129],"effect":[131],"observation":[133],"noise":[134],"when":[135],"compared":[136],"with":[137,153],"2)":[141],"capitalize":[142],"structural":[144],"to":[146,158,162],"much":[148],"larger":[149],"extent":[150],"than":[151],"possible":[152],"sensing.":[155],"addition":[157],"perform":[163],"settings,":[168],"both":[171,180],"performance":[172],"upper":[173],"bounds,":[174],"corresponding":[176],"lower":[177],"bounds":[178],"paradigms.":[182]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}