{"id":"https://openalex.org/W2358790302","doi":"https://doi.org/10.1109/eusipco.2016.7760414","title":"Accelerated reconstruction of a compressively sampled data stream","display_name":"Accelerated reconstruction of a compressively sampled data stream","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2358790302","doi":"https://doi.org/10.1109/eusipco.2016.7760414","mag":"2358790302"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2016.7760414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2016.7760414","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":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/handle/123456789/568003","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051529774","display_name":"Pantelis Sopasakis","orcid":"https://orcid.org/0000-0002-4584-2354"},"institutions":[{"id":"https://openalex.org/I127077003","display_name":"IMT School for Advanced Studies Lucca","ror":"https://ror.org/035gh3a49","country_code":"IT","type":"education","lineage":["https://openalex.org/I127077003"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pantelis Sopasakis","raw_affiliation_strings":["IMT Institute for Advanced Studies Lucca, Lucca, Italy","IMT Institute for Advanced Studies Lucca, Piazza S. Ponziano 6, 55100, Lucca, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IMT Institute for Advanced Studies Lucca, Lucca, Italy","institution_ids":["https://openalex.org/I127077003"]},{"raw_affiliation_string":"IMT Institute for Advanced Studies Lucca, Piazza S. Ponziano 6, 55100, Lucca, Italy","institution_ids":["https://openalex.org/I127077003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057971831","display_name":"Nikolaos M. Freris","orcid":"https://orcid.org/0000-0001-6006-3001"},"institutions":[{"id":"https://openalex.org/I120250893","display_name":"New York University Abu Dhabi","ror":"https://ror.org/00e5k0821","country_code":"AE","type":"education","lineage":["https://openalex.org/I120250893","https://openalex.org/I57206974"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Nikolaos Freris","raw_affiliation_strings":["Division of Engineering, New York University Abu Dhabi, United Arab Emirates","New York University Abu Dhabi, Division of Engineering, P.O. Box 129188, United Arab Emirates"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Engineering, New York University Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I120250893"]},{"raw_affiliation_string":"New York University Abu Dhabi, Division of Engineering, P.O. Box 129188, United Arab Emirates","institution_ids":["https://openalex.org/I120250893"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031380765","display_name":"Panagiotis Patrinos","orcid":"https://orcid.org/0000-0003-4824-7697"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Panagiotis Patrinos","raw_affiliation_strings":["Dept. of Electrical Engineering (ESAT-STADIUS), OPTEC, Leuven, Belgium","KU Leuven, Dept. of Electrical Engineering (esat-stadius) & OPTEC, Kasteelpark Arenberg 10, 3001 Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering (ESAT-STADIUS), OPTEC, Leuven, Belgium","institution_ids":[]},{"raw_affiliation_string":"KU Leuven, Dept. of Electrical Engineering (esat-stadius) & OPTEC, Kasteelpark Arenberg 10, 3001 Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1078","last_page":"1082"},"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/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/compressed-sensing","display_name":"Compressed sensing","score":0.7668407559394836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6916653513908386},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.6346359848976135},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.6289305686950684},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6137722730636597},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5888988375663757},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5791159272193909},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.4752219319343567},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.47210589051246643},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3788430094718933},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.26139575242996216},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.251943975687027},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.18401694297790527}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7668407559394836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6916653513908386},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.6346359848976135},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.6289305686950684},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6137722730636597},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5888988375663757},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5791159272193909},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.4752219319343567},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.47210589051246643},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3788430094718933},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.26139575242996216},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.251943975687027},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.18401694297790527},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/eusipco.2016.7760414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2016.7760414","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:lirias2repo.kuleuven.be:123456789/568003","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/568003","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"24th European Signal Processing Conference (EUSIPCO), Budapest, Hungary, 28 August - 2 September 2016","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:arXiv.org:1605.02341","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1605.02341","pdf_url":"https://arxiv.org/pdf/1605.02341","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":"","raw_type":null},{"id":"mag:2358790302","is_oa":true,"landing_page_url":"https://www.arxiv.org/pdf/1605.02341.pdf","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/d7b836a1-3d42-46b3-b185-d5e7779ecb1d","is_oa":false,"landing_page_url":"https://pure.qub.ac.uk/en/publications/d7b836a1-3d42-46b3-b185-d5e7779ecb1d","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sopasakis, P, Freris, N & Patrinos, P 2016, Accelerated reconstruction of a compressively sampled data stream. in 24th European Signal Processing conference (EUSIPCO). Budapest, Hugary.","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.1605.02341","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1605.02341","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/568003","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/568003","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"24th European Signal Processing Conference (EUSIPCO), Budapest, Hungary, 28 August - 2 September 2016","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2655841449","display_name":null,"funder_award_id":"636834","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G7530274228","display_name":null,"funder_award_id":"BOF/STG-15-043","funder_id":"https://openalex.org/F4320322308","funder_display_name":"KU Leuven"}],"funders":[{"id":"https://openalex.org/F4320322308","display_name":"KU Leuven","ror":"https://ror.org/05f950310"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1532777473","https://openalex.org/W2001732520","https://openalex.org/W2030161963","https://openalex.org/W2041101642","https://openalex.org/W2056510226","https://openalex.org/W2100556411","https://openalex.org/W2100705753","https://openalex.org/W2113513412","https://openalex.org/W2115447612","https://openalex.org/W2119667497","https://openalex.org/W2126320002","https://openalex.org/W2126607811","https://openalex.org/W2129638195","https://openalex.org/W2135046866","https://openalex.org/W2158537680","https://openalex.org/W2161227280","https://openalex.org/W2164278908","https://openalex.org/W2296616510","https://openalex.org/W2913535645","https://openalex.org/W2950064881","https://openalex.org/W3022380717","https://openalex.org/W3101762025","https://openalex.org/W4250955649","https://openalex.org/W4292363360","https://openalex.org/W6631911302","https://openalex.org/W6677295961","https://openalex.org/W6682861331","https://openalex.org/W6758920291","https://openalex.org/W6764688880"],"related_works":["https://openalex.org/W2963171296","https://openalex.org/W2113513412","https://openalex.org/W2126320002","https://openalex.org/W2115504648","https://openalex.org/W2799044213","https://openalex.org/W2106967375","https://openalex.org/W1964785217","https://openalex.org/W2990425344","https://openalex.org/W1990175245","https://openalex.org/W1847484315","https://openalex.org/W2110198170","https://openalex.org/W2178799117","https://openalex.org/W1928540946","https://openalex.org/W2525246324","https://openalex.org/W2726394631","https://openalex.org/W101316822","https://openalex.org/W2520463294","https://openalex.org/W1857867064","https://openalex.org/W3013088421","https://openalex.org/W2921832454"],"abstract_inverted_index":{"The":[0],"traditional":[1],"compressed":[2,26],"sensing":[3,27],"approach":[4],"is":[5],"naturally":[6],"offline,":[7],"in":[8],"that":[9],"it":[10],"amounts":[11],"to":[12,45,66],"sparsely":[13],"sampling":[14,37],"and":[15,42],"reconstructing":[16],"a":[17,60,85,93],"given":[18],"dataset.":[19],"Recently,":[20],"an":[21],"online":[22],"algorithm":[23],"for":[24,109],"performing":[25],"on":[28],"streaming":[29],"data":[30],"was":[31],"proposed:":[32],"the":[33,39,51,69,97,100,105],"scheme":[34],"uses":[35],"recursive":[36,43],"of":[38,79,99],"input":[40],"stream":[41,48],"decompression":[44],"accurately":[46],"estimate":[47],"entries":[49],"from":[50],"acquired":[52],"noisy":[53],"measurements.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58],"develop":[59],"novel":[61],"Newton-type":[62],"forward-backward":[63],"proximal":[64],"method":[65,81,107],"recursively":[67],"solve":[68],"regularized":[70],"Least-Squares":[71],"problem":[72],"(LASSO)":[73],"online.":[74],"We":[75],"establish":[76],"global":[77],"convergence":[78,88],"our":[80],"as":[82,84],"well":[83],"local":[86],"quadratic":[87],"rate.":[89],"Our":[90],"simulations":[91],"show":[92],"substantial":[94],"speed-up":[95],"over":[96],"state":[98],"art":[101],"which":[102],"may":[103],"render":[104],"proposed":[106],"suitable":[108],"applications":[110],"with":[111],"stringent":[112],"real-time":[113],"constraints.":[114]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
