{"id":"https://openalex.org/W2513328574","doi":"https://doi.org/10.1109/tit.2017.2653802","title":"Adaptive Compressed Sensing for Support Recovery of Structured Sparse Sets","display_name":"Adaptive Compressed Sensing for Support Recovery of Structured Sparse Sets","publication_year":2017,"publication_date":"2017-01-16","ids":{"openalex":"https://openalex.org/W2513328574","doi":"https://doi.org/10.1109/tit.2017.2653802","mag":"2513328574"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2017.2653802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2017.2653802","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":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1410.4593","any_repository_has_fulltext":true},"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, MB, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Eindhoven University of Technology, Eindhoven, MB, 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, MB, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-2179-5514","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Eindhoven University of Technology, Eindhoven, MB, 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":0.4189,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55336954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"63","issue":"3","first_page":"1535","last_page":"1554"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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":0.9991999864578247,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9979000091552734,"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/compressed-sensing","display_name":"Compressed sensing","score":0.8822735548019409},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6926011443138123},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5738124847412109},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5460671186447144},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4403599798679352},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42880770564079285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27360475063323975},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07187044620513916},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06422784924507141}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8822735548019409},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6926011443138123},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5738124847412109},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5460671186447144},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4403599798679352},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42880770564079285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27360475063323975},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07187044620513916},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06422784924507141},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":9,"locations":[{"id":"doi:10.1109/tit.2017.2653802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2017.2653802","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:arXiv.org:1410.4593","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1410.4593","pdf_url":"https://arxiv.org/pdf/1410.4593","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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:pure.tue.nl:openaire/236d7adb-f46b-42e4-a04e-733814248cd1","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/236d7adb-f46b-42e4-a04e-733814248cd1","pdf_url":"https://research.tue.nl/files/104066958/07819556.pdf","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Castro, R M & Tanczos, E 2017, 'Adaptive compressed sensing for support recovery of structured sparse sets', IEEE Transactions on Information Theory, vol. 63, no. 3, 7819556, pp. 1535-1554. https://doi.org/10.1109/TIT.2017.2653802","raw_type":"info:eu-repo/semantics/article"},{"id":"mag:2513328574","is_oa":true,"landing_page_url":"https://ui.adsabs.harvard.edu/abs/2014arXiv1410.4593C/abstract","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:902832","is_oa":false,"landing_page_url":"http://library.tue.nl/csp/dare/LinkToRepository.csp?recordnumber=902832","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:library.tue.nl:902832","is_oa":false,"landing_page_url":"http://repository.tue.nl/902832","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/236d7adb-f46b-42e4-a04e-733814248cd1","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85013439635&partnerID=8YFLogxK","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Castro, R M & Tanczos, E 2017, 'Adaptive compressed sensing for support recovery of structured sparse sets', IEEE Transactions on Information Theory, vol. 63, no. 3, 7819556, pp. 1535-1554. https://doi.org/10.1109/TIT.2017.2653802","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:tue:oai:pure.tue.nl:publications/236d7adb-f46b-42e4-a04e-733814248cd1","is_oa":true,"landing_page_url":"https://research.tue.nl/nl/publications/236d7adb-f46b-42e4-a04e-733814248cd1","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Information Theory, 63(3):7819556, 1535 - 1554. Institute of Electrical and Electronics Engineers","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.48550/arxiv.1410.4593","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1410.4593","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1410.4593","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1410.4593","pdf_url":"https://arxiv.org/pdf/1410.4593","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W58673994","https://openalex.org/W105770523","https://openalex.org/W143004564","https://openalex.org/W1511694993","https://openalex.org/W1525838894","https://openalex.org/W1579375382","https://openalex.org/W1781551838","https://openalex.org/W2017096395","https://openalex.org/W2018338889","https://openalex.org/W2034260606","https://openalex.org/W2034711706","https://openalex.org/W2036229846","https://openalex.org/W2039440937","https://openalex.org/W2072157164","https://openalex.org/W2076585105","https://openalex.org/W2116581300","https://openalex.org/W2119667497","https://openalex.org/W2122548617","https://openalex.org/W2125680629","https://openalex.org/W2127300249","https://openalex.org/W2129638195","https://openalex.org/W2150035260","https://openalex.org/W2151120858","https://openalex.org/W2155010807","https://openalex.org/W2157826690","https://openalex.org/W2161610387","https://openalex.org/W2166043450","https://openalex.org/W2167770337","https://openalex.org/W2169357279","https://openalex.org/W2170707542","https://openalex.org/W2296616510","https://openalex.org/W2543667633","https://openalex.org/W2950833525","https://openalex.org/W2953050777","https://openalex.org/W2953087583","https://openalex.org/W2962739555","https://openalex.org/W2962823077","https://openalex.org/W2963213279","https://openalex.org/W2963912585","https://openalex.org/W2963923406","https://openalex.org/W2964217469","https://openalex.org/W3105340263","https://openalex.org/W3125735862","https://openalex.org/W4230704549","https://openalex.org/W4250955649","https://openalex.org/W6602354584","https://openalex.org/W6605427962","https://openalex.org/W6631780306","https://openalex.org/W6637590965","https://openalex.org/W6638106515","https://openalex.org/W6683495017","https://openalex.org/W6684673196"],"related_works":["https://openalex.org/W2220916045","https://openalex.org/W2078076831","https://openalex.org/W2026915707","https://openalex.org/W3083868840","https://openalex.org/W2550293520","https://openalex.org/W2493233724","https://openalex.org/W2969797631","https://openalex.org/W2594017755","https://openalex.org/W1453563436","https://openalex.org/W5161726","https://openalex.org/W3047406518","https://openalex.org/W2383125504","https://openalex.org/W3198594806","https://openalex.org/W3130907527","https://openalex.org/W2337043314","https://openalex.org/W2587974107","https://openalex.org/W3002863992","https://openalex.org/W3007661815","https://openalex.org/W3125924906","https://openalex.org/W2106089913"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,7,26,57,73,82,91,94],"problem":[4],"of":[5,9,20,29,84,93],"recovering":[6,31],"support":[8,22,41,95],"structured":[10,21],"signals":[11],"via":[12],"adaptive":[13,40,76],"compressive":[14,35],"sensing.":[15],"We":[16,51],"examine":[17],"several":[18],"classes":[19],"sets,":[23],"and":[24,86],"characterize":[25],"fundamental":[27],"limits":[28],"accurately":[30],"such":[32],"sets":[33],"through":[34],"measurements,":[36],"while":[37],"simultaneously":[38],"providing":[39],"recovery":[42],"protocols":[43],"that":[44,53,75],"perform":[45],"near":[46],"optimally":[47],"for":[48],"these":[49],"classes.":[50],"show":[52],"by":[54],"adaptively":[55],"designing":[56],"sensing":[58,77],"matrix,":[59],"we":[60],"can":[61],"attain":[62],"significant":[63],"performance":[64],"gains":[65,70],"over":[66],"non-adaptive":[67],"protocols.":[68],"These":[69],"arise":[71],"from":[72],"fact":[74],"can:":[78],"1)":[79],"better":[80,88],"mitigate":[81],"effects":[83],"noise":[85],"2)":[87],"capitalize":[89],"on":[90],"structure":[92],"sets.":[96]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}