{"id":"https://openalex.org/W4238744307","doi":"https://doi.org/10.4171/022-3/69","title":"Compressive sampling","display_name":"Compressive sampling","publication_year":2007,"publication_date":"2007-05-15","ids":{"openalex":"https://openalex.org/W4238744307","doi":"https://doi.org/10.4171/022-3/69"},"language":"en","primary_location":{"id":"doi:10.4171/022-3/69","doi":"https://doi.org/10.4171/022-3/69","is_oa":false,"landing_page_url":"https://doi.org/10.4171/022-3/69","pdf_url":null,"source":{"id":"https://openalex.org/S4363608688","display_name":"Proceedings of the International Congress of Mathematicians Madrid, August 22\u201330, 2006","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Congress of Mathematicians Madrid, August 22\u201330, 2006","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W4388176963","display_name":"Proceedings of the International Congress of Mathematicians Madrid, August 22\u201330, 2006"},"type":"book-chapter","is_traditional":true,"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/A5072495084","display_name":"Emmanuel J. Cand\u00e8s","orcid":"https://orcid.org/0000-0001-9234-924X","observed_orcids":["https://orcid.org/0000-0001-9234-924X"]},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Emmanuel J. Cand\u00e8s","raw_affiliation_strings":["California Institute of Technology, Pasadena, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California Institute of Technology, Pasadena, USA","institution_ids":["https://openalex.org/I122411786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5072495084"],"corresponding_institution_ids":["https://openalex.org/I122411786"],"apc_list":null,"apc_paid":null,"fwci":74.6905,"has_fulltext":false,"cited_by_count":1137,"citation_normalized_percentile":{"value":0.99874687,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1433","last_page":"1452"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"compressed sensing","score":0.9990000128746033},{"id":"https://openalex.org/keywords/image-reconstruction","display_name":"image reconstruction","score":0.7670000195503235},{"id":"https://openalex.org/keywords/sparse-signal-recovery","display_name":"sparse signal recovery","score":0.5289999842643738},{"id":"https://openalex.org/keywords/data-acquisition-protocol","display_name":"data acquisition protocol","score":0.6859999895095825},{"id":"https://openalex.org/keywords/information-theory","display_name":"information theory","score":0.6629999876022339},{"id":"https://openalex.org/keywords/coding-theory","display_name":"coding theory","score":0.9390000104904175},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"theoretical computer science","score":0.9300000071525574}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8187379240989685},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.6625539064407349},{"id":"https://openalex.org/C2985880046","wikidata":"https://www.wikidata.org/wiki/Q7410168","display_name":"Sampling theory","level":3,"score":0.6394221186637878},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6111594438552856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.590194821357727},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5720757246017456},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.416336327791214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4008890986442566},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37363743782043457},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3603193461894989},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3163548409938812},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2762101888656616},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.10923254489898682},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.4171/022-3/69","doi":"https://doi.org/10.4171/022-3/69","is_oa":false,"landing_page_url":"https://doi.org/10.4171/022-3/69","pdf_url":null,"source":{"id":"https://openalex.org/S4363608688","display_name":"Proceedings of the International Congress of Mathematicians Madrid, August 22\u201330, 2006","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Congress of Mathematicians Madrid, August 22\u201330, 2006","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.419.4969","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.419.4969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.signallake.com/innovation/CompressiveSampling06.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.85.1434","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.85.1434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.acm.caltech.edu/~emmanuel/papers/CompressiveSampling.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2259755813","https://openalex.org/W2119667497","https://openalex.org/W2152881309","https://openalex.org/W49093376","https://openalex.org/W2521921907","https://openalex.org/W2346268582","https://openalex.org/W2295549646","https://openalex.org/W1553080200","https://openalex.org/W2188138924","https://openalex.org/W3030866127"],"abstract_inverted_index":{"Conventional":[0],"wisdom":[1,80],"and":[2,7,74,97,172,192,201,211],"common":[3],"practice":[4],"in":[5,54,122],"acquisition":[6,144],"reconstruction":[8],"of":[9,18,34,46,52,68,93,104,114,120,141,183,195],"images":[10,90],"from":[11,101],"frequency":[12],"data":[13,143,174],"follow":[14],"the":[15,19,32,43,47,50,55,66,111,115,118,123,139,184,196],"basic":[16],"principle":[17,25],"Nyquist":[20],"density":[21],"sampling":[22,130,163,171,200],"theory.":[23],"This":[24,57,161],"states":[26],"that":[27,77,128,146],"to":[28,39,88,167],"reconstruct":[29,89],"an":[30,60],"image,":[31,48],"number":[33,51,103,119],"Fourier":[35],"samples":[36,105],"we":[37,180],"need":[38],"acquire":[40],"must":[41],"match":[42],"desired":[44,112],"resolution":[45,113],"i.e.":[49],"pixels":[53,121],"image.":[56,124],"paper":[58],"surveys":[59],"emerging":[61],"theory":[62,164],"which":[63,75,106],"goes":[64],"by":[65],"name":[67],"\u201ccompressive":[69],"sampling\u201d":[70],"or":[71,91],"\u201ccompressed":[72],"sensing,\u201d":[73],"says":[76],"this":[78,177,189],"conventional":[79],"is":[81,86,107,126],"inaccurate.":[82],"Perhaps":[83],"surprisingly,":[84],"it":[85,137],"possible":[87],"signals":[92],"scienti\ufb01c":[94],"interest":[95],"accurately":[96],"sometimes":[98],"even":[99],"exactly":[100],"a":[102],"far":[108,132],"smaller":[109],"than":[110,156],"image/signal,":[116],"e.g.":[117],"It":[125],"believed":[127],"compressive":[129,199],"has":[131],"reaching":[133],"implications.":[134],"For":[135],"example,":[136],"suggests":[138],"possibility":[140],"new":[142,162,190],"protocols":[145],"translate":[147],"analog":[148],"information":[149,207],"into":[150],"digital":[151],"form":[152],"with":[153],"fewer":[154],"sensors":[155],"what":[157],"was":[158],"considered":[159],"necessary.":[160],"may":[165],"come":[166],"underlie":[168],"procedures":[169],"for":[170],"compressing":[173],"simultaneously.":[175],"In":[176],"short":[178],"survey,":[179],"provide":[181],"some":[182,194],"key":[185],"mathematical":[186],"insights":[187],"underlying":[188],"theory,":[191,208,210],"explain":[193],"interactions":[197],"between":[198],"other":[202],"\ufb01elds":[203],"such":[204],"as":[205],"statistics,":[206],"coding":[209],"theoretical":[212],"computer":[213],"science.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":33},{"year":2024,"cited_by_count":43},{"year":2023,"cited_by_count":41},{"year":2022,"cited_by_count":45},{"year":2021,"cited_by_count":56},{"year":2020,"cited_by_count":44},{"year":2019,"cited_by_count":60},{"year":2018,"cited_by_count":68},{"year":2017,"cited_by_count":52},{"year":2016,"cited_by_count":79},{"year":2015,"cited_by_count":93},{"year":2014,"cited_by_count":110},{"year":2013,"cited_by_count":103},{"year":2012,"cited_by_count":88}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2022-05-12T00:00:00"}
