{"id":"https://openalex.org/W2047928014","doi":"https://doi.org/10.1109/lsp.2015.2411154","title":"Guaranteed Performance in the FRI Setting","display_name":"Guaranteed Performance in the FRI Setting","publication_year":2015,"publication_date":"2015-03-09","ids":{"openalex":"https://openalex.org/W2047928014","doi":"https://doi.org/10.1109/lsp.2015.2411154","mag":"2047928014"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2015.2411154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2015.2411154","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5036181216","display_name":"Xiaoyao Wei","orcid":"https://orcid.org/0000-0002-9637-1353"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Xiaoyao Wei","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, London, UK","Dept. of Electrical and Electronic Engineering, Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Dept. of Electrical and Electronic Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053203917","display_name":"Pier Luigi Dragotti","orcid":"https://orcid.org/0000-0002-6073-2807"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pier Luigi Dragotti","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, London, UK","Dept. of Electrical and Electronic Engineering, Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Dept. of Electrical and Electronic Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036181216"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":2.34,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.86954593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"22","issue":"10","first_page":"1661","last_page":"1665"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7037652134895325},{"id":"https://openalex.org/keywords/swap","display_name":"Swap (finance)","score":0.7008506059646606},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.532597005367279},{"id":"https://openalex.org/keywords/bandlimiting","display_name":"Bandlimiting","score":0.5092412233352661},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4801563620567322},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.45663952827453613},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.43593552708625793},{"id":"https://openalex.org/keywords/sampling-theory","display_name":"Sampling theory","score":0.4142570197582245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38428691029548645},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3582462966442108},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.25997552275657654},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2428940236568451},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22555619478225708}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7037652134895325},{"id":"https://openalex.org/C99821215","wikidata":"https://www.wikidata.org/wiki/Q1136583","display_name":"Swap (finance)","level":2,"score":0.7008506059646606},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.532597005367279},{"id":"https://openalex.org/C129997835","wikidata":"https://www.wikidata.org/wiki/Q806263","display_name":"Bandlimiting","level":3,"score":0.5092412233352661},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4801563620567322},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.45663952827453613},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.43593552708625793},{"id":"https://openalex.org/C2985880046","wikidata":"https://www.wikidata.org/wiki/Q7410168","display_name":"Sampling theory","level":3,"score":0.4142570197582245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38428691029548645},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3582462966442108},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.25997552275657654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2428940236568451},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22555619478225708},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2015.2411154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2015.2411154","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/38767","is_oa":false,"landing_page_url":"http://hdl.handle.net/10044/1/38767","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"1665","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6700000166893005}],"awards":[{"id":"https://openalex.org/G1106000060","display_name":null,"funder_award_id":"Nr. 277800","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"}],"funders":[{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1756862185","https://openalex.org/W2002663556","https://openalex.org/W2065656021","https://openalex.org/W2098542973","https://openalex.org/W2103300762","https://openalex.org/W2110874571","https://openalex.org/W2111896004","https://openalex.org/W2116261083","https://openalex.org/W2118682956","https://openalex.org/W2130473613","https://openalex.org/W2131680714","https://openalex.org/W2138787877","https://openalex.org/W2149213383","https://openalex.org/W2153070503","https://openalex.org/W2158537680","https://openalex.org/W2167933251","https://openalex.org/W6679278003"],"related_works":["https://openalex.org/W277124882","https://openalex.org/W2949625467","https://openalex.org/W4297783100","https://openalex.org/W2134361480","https://openalex.org/W2026373084","https://openalex.org/W1683689360","https://openalex.org/W4300704682","https://openalex.org/W2010190755","https://openalex.org/W4383227007","https://openalex.org/W1502964996"],"abstract_inverted_index":{"Finite":[0],"Rate":[1],"of":[2,19,25,30,58,64,114,126,149],"Innovation":[3],"(FRI)":[4],"sampling":[5,136],"theory":[6],"has":[7,90],"shown":[8],"that":[9],"it":[10],"is":[11,71,117],"possible":[12],"to":[13,45,134],"sample":[14],"and":[15,49,119,138],"perfectly":[16],"reconstruct":[17],"classes":[18],"non-bandlimited":[20],"signals":[21],"such":[22],"as":[23,94],"streams":[24],"Diracs.":[26,143],"In":[27,76],"the":[28,36,41,56,61,65,85,95,112,127,135,139,147],"case":[29],"noisy":[31],"measurements,":[32],"FRI":[33,69],"methods":[34],"achieve":[35],"optimal":[37],"performance":[38,98],"given":[39],"by":[40,83],"Cram\u00e9r-Rao":[42],"bound":[43],"up":[44],"a":[46],"certain":[47],"PSNR":[48,129],"breaks":[50],"down":[51],"for":[52,97],"smaller":[53],"PSNRs.":[54],"To":[55],"best":[57],"our":[59,150],"knowledge,":[60],"precise":[62],"anticipation":[63],"breakdown":[66,99,128],"event":[67,88],"in":[68,100],"settings":[70],"still":[72],"an":[73,123],"open":[74],"problem.":[75],"this":[77,81,120],"letter,":[78],"we":[79,131],"address":[80],"issue":[82],"investigating":[84],"subspace":[86,115],"swap":[87,116],"which":[89,109,130],"been":[91],"broadly":[92],"recognised":[93],"reason":[96],"SVD-based":[101],"parameter":[102],"estimation":[103],"algorithms.":[104],"We":[105],"work":[106],"out":[107],"at":[108],"noise":[110],"level":[111],"absence":[113],"guaranteed":[118],"gives":[121],"us":[122],"accurate":[124],"prediction":[125],"also":[132],"relate":[133],"rate":[137],"distance":[140],"between":[141],"adjacent":[142],"Simulation":[144],"results":[145],"validate":[146],"reliability":[148],"analysis.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}