{"id":"https://openalex.org/W2517289061","doi":"https://doi.org/10.1109/ssp.2016.7551810","title":"Measurement matrix design for compressive sensing with side information at the encoder","display_name":"Measurement matrix design for compressive sensing with side information at the encoder","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2517289061","doi":"https://doi.org/10.1109/ssp.2016.7551810","mag":"2517289061"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2016.7551810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2016.7551810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/1529224/1/07-05-2016-MeasurementMatrixDesignWithSIatEncoder-FinalVer.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086311488","display_name":"Pingfan Song","orcid":"https://orcid.org/0000-0003-3596-083X"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pingfan Song","raw_affiliation_strings":["Electronic and Electrical Engineering Department, University College, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic and Electrical Engineering Department, University College, London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009017662","display_name":"Jo\u00e3o F. C. Mota","orcid":"https://orcid.org/0000-0001-7263-8255"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Joao F. C. Mota","raw_affiliation_strings":["Electronic and Electrical Engineering Department, University College, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic and Electrical Engineering Department, University College, London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043511500","display_name":"Nikos Deligiannis","orcid":"https://orcid.org/0000-0001-9300-5860"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Nikos Deligiannis","raw_affiliation_strings":["Department of Electronics and Informatics, Vrije Universiteit, Brussel, Belgium","iMinds vzw, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Informatics, Vrije Universiteit, Brussel, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"iMinds vzw, Ghent, Belgium","institution_ids":["https://openalex.org/I39327780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044634366","display_name":"Miguel R. D. Rodrigues","orcid":"https://orcid.org/0000-0002-8908-847X"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Miguel Raul Dias Rodrigues","raw_affiliation_strings":["Electronic and Electrical Engineering Department, University College, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic and Electrical Engineering Department, University College, London, UK","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7913,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83505802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9991000294685364,"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":0.8760185241699219},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7042034268379211},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6925879716873169},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.6797561049461365},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6459318995475769},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6213037371635437},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6039215326309204},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.593018114566803},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5545557141304016},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.49936747550964355},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.29289722442626953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2357686161994934},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.16291528940200806},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08838653564453125},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.07100498676300049}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8760185241699219},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7042034268379211},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6925879716873169},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.6797561049461365},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6459318995475769},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6213037371635437},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6039215326309204},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.593018114566803},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5545557141304016},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.49936747550964355},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.29289722442626953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2357686161994934},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.16291528940200806},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08838653564453125},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.07100498676300049},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ssp.2016.7551810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2016.7551810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1529224","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/1529224/","pdf_url":"https://discovery.ucl.ac.uk/1529224/1/07-05-2016-MeasurementMatrixDesignWithSIatEncoder-FinalVer.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  2016 IEEE Statistical Signal Processing Workshop (SSP).  (pp. pp. 1-5).  IEEE (2016)     ","raw_type":"Proceedings paper"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:135784","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/measurement-matrix-design-for-compressive-sensing-with-side-information-at-the-encoder(5e56537d-b0e7-43fb-9842-0cd7c8f6bb83).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"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":"article"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1529224","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/1529224/","pdf_url":"https://discovery.ucl.ac.uk/1529224/1/07-05-2016-MeasurementMatrixDesignWithSIatEncoder-FinalVer.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  2016 IEEE Statistical Signal Processing Workshop (SSP).  (pp. pp. 1-5).  IEEE (2016)     ","raw_type":"Proceedings paper"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G6084913331","display_name":null,"funder_award_id":"EP/K033166/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2517289061.pdf","grobid_xml":"https://content.openalex.org/works/W2517289061.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W74946117","https://openalex.org/W1513531234","https://openalex.org/W1527244582","https://openalex.org/W1576263545","https://openalex.org/W1608074891","https://openalex.org/W1712805121","https://openalex.org/W1824175539","https://openalex.org/W1918311561","https://openalex.org/W1986931325","https://openalex.org/W1997017524","https://openalex.org/W2017698840","https://openalex.org/W2025223969","https://openalex.org/W2055064119","https://openalex.org/W2067810487","https://openalex.org/W2083042020","https://openalex.org/W2096761902","https://openalex.org/W2101675075","https://openalex.org/W2106460483","https://openalex.org/W2111394763","https://openalex.org/W2129131372","https://openalex.org/W2129319777","https://openalex.org/W2134074206","https://openalex.org/W2140122025","https://openalex.org/W2145096794","https://openalex.org/W2167077875","https://openalex.org/W2168946004","https://openalex.org/W2296616510","https://openalex.org/W2543920651","https://openalex.org/W2565295977","https://openalex.org/W2762625016","https://openalex.org/W2949567103","https://openalex.org/W2962904605","https://openalex.org/W2963295317","https://openalex.org/W3121165271","https://openalex.org/W3124617746","https://openalex.org/W4250955649","https://openalex.org/W6636600324","https://openalex.org/W6667530009","https://openalex.org/W6674437713","https://openalex.org/W6763763000","https://openalex.org/W6999992870"],"related_works":["https://openalex.org/W2368824897","https://openalex.org/W2378166785","https://openalex.org/W2221419418","https://openalex.org/W2156466545","https://openalex.org/W2379468505","https://openalex.org/W1508050556","https://openalex.org/W3104324607","https://openalex.org/W1910862367","https://openalex.org/W2379365082","https://openalex.org/W2370747590"],"abstract_inverted_index":{"We":[0],"study":[1],"the":[2,13,24,38,47,55,67,70,74,83,86,105],"problem":[3],"of":[4,26,57,73,107],"measurement":[5,48],"matrix":[6],"design":[7,45,123],"for":[8,46,104,127],"Compressive":[9],"Sensing":[10],"(CS)":[11],"when":[12],"encoder":[14],"has":[15],"access":[16],"to":[17,23,32,53,98],"side":[18],"information,":[19],"a":[20,43,100],"signal":[21,25,39,64,88,129],"analogous":[22],"interest.":[27],"In":[28],"particular,":[29],"we":[30],"propose":[31],"incorporate":[33],"this":[34],"extra":[35],"information":[36],"into":[37],"acquisition":[40],"stage":[41],"via":[42,89],"new":[44],"matrix.":[49,140],"The":[50],"goal":[51],"is":[52,78],"reduce":[54],"number":[56,106],"encoding":[58],"measurements,":[59],"while":[60],"still":[61],"allowing":[62],"perfect":[63],"reconstruction":[65,71,130],"at":[66],"decoder.":[68],"Then,":[69],"performance":[72],"resulting":[75],"CS":[76],"system":[77],"analysed":[79],"in":[80],"detail":[81],"assuming":[82],"decoder":[84],"reconstructs":[85],"original":[87],"Basis":[90],"Pursuit.":[91],"Finally,":[92],"Gaussian":[93,139],"width":[94],"tools":[95],"are":[96],"exploited":[97],"establish":[99],"tight":[101],"theoretical":[102],"bound":[103],"required":[108],"measurements.":[109],"Extensive":[110],"numerical":[111],"experiments":[112],"not":[113],"only":[114],"validate":[115],"our":[116,122],"approach,":[117],"but":[118],"also":[119],"demonstrate":[120],"that":[121],"requires":[124],"fewer":[125],"measurements":[126],"successful":[128],"compared":[131],"with":[132],"alternative":[133],"designs,":[134],"such":[135],"as":[136],"an":[137],"i.i.d.":[138]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}