{"id":"https://openalex.org/W2121835854","doi":"https://doi.org/10.1109/tit.2014.2321552","title":"Near-Optimal Adaptive Compressed Sensing","display_name":"Near-Optimal Adaptive Compressed Sensing","publication_year":2014,"publication_date":"2014-05-02","ids":{"openalex":"https://openalex.org/W2121835854","doi":"https://doi.org/10.1109/tit.2014.2321552","mag":"2121835854"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2014.2321552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2014.2321552","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":["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/A5110628632","display_name":"Matthew Malloy","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Matthew L. Malloy","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Wisconsin, Madison, WI, USA","Dept. of Electrical & Computer Eng., University of Wisconsin, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Wisconsin, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"Dept. of Electrical & Computer Eng., University of Wisconsin, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106921483","display_name":"Robert D. Nowak","orcid":"https://orcid.org/0000-0001-8743-0887"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert D. Nowak","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Wisconsin, Madison, WI, USA","Dept. of Electrical & Computer Eng., University of Wisconsin, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Wisconsin, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"Dept. of Electrical & Computer Eng., University of Wisconsin, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110628632"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":14.7634,"has_fulltext":false,"cited_by_count":108,"citation_normalized_percentile":{"value":0.99523958,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"60","issue":"7","first_page":"4001","last_page":"4012"},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9980000257492065,"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":0.9976000189781189,"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":0.9501891136169434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6776783466339111},{"id":"https://openalex.org/keywords/uncompressed-video","display_name":"Uncompressed video","score":0.5753375291824341},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5542883276939392},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49985694885253906},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.46690139174461365},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.457628071308136},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.45708370208740234},{"id":"https://openalex.org/keywords/group-testing","display_name":"Group testing","score":0.4464518129825592},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4458070695400238},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4229021370410919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23112782835960388},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18909677863121033},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09770676493644714}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.9501891136169434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6776783466339111},{"id":"https://openalex.org/C162478608","wikidata":"https://www.wikidata.org/wiki/Q4011369","display_name":"Uncompressed video","level":4,"score":0.5753375291824341},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5542883276939392},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49985694885253906},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.46690139174461365},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.457628071308136},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.45708370208740234},{"id":"https://openalex.org/C177580056","wikidata":"https://www.wikidata.org/wiki/Q5611272","display_name":"Group testing","level":2,"score":0.4464518129825592},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4458070695400238},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4229021370410919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23112782835960388},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18909677863121033},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09770676493644714},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"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/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.2014.2321552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2014.2321552","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G201076361","display_name":null,"funder_award_id":"FA9550-09-1-0140","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"}],"funders":[{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W105770523","https://openalex.org/W1504908594","https://openalex.org/W1525838894","https://openalex.org/W1645604534","https://openalex.org/W1968199120","https://openalex.org/W1970554427","https://openalex.org/W1976166598","https://openalex.org/W1978694936","https://openalex.org/W2000535491","https://openalex.org/W2033289745","https://openalex.org/W2071284784","https://openalex.org/W2080683840","https://openalex.org/W2087326866","https://openalex.org/W2097238286","https://openalex.org/W2101627389","https://openalex.org/W2109379066","https://openalex.org/W2112118326","https://openalex.org/W2114456237","https://openalex.org/W2116581300","https://openalex.org/W2122548617","https://openalex.org/W2126607811","https://openalex.org/W2127300249","https://openalex.org/W2141556672","https://openalex.org/W2152279601","https://openalex.org/W2154232923","https://openalex.org/W2156540265","https://openalex.org/W2161610387","https://openalex.org/W2222505014","https://openalex.org/W2541214910","https://openalex.org/W2952501021","https://openalex.org/W2963121391","https://openalex.org/W2963611558","https://openalex.org/W2963736810","https://openalex.org/W2963852296","https://openalex.org/W2963912585","https://openalex.org/W2963917966","https://openalex.org/W2964217469","https://openalex.org/W3099911925","https://openalex.org/W3101990100","https://openalex.org/W3103169419","https://openalex.org/W3120740533","https://openalex.org/W4298671972","https://openalex.org/W4298949291","https://openalex.org/W6630207868","https://openalex.org/W6641509411","https://openalex.org/W6688923598"],"related_works":["https://openalex.org/W3090123594","https://openalex.org/W4298106763","https://openalex.org/W4225762034","https://openalex.org/W3208673741","https://openalex.org/W3193495136","https://openalex.org/W3214194574","https://openalex.org/W4289536551","https://openalex.org/W3034045117","https://openalex.org/W2935446612","https://openalex.org/W3092874786"],"abstract_inverted_index":{"This":[0,162],"paper":[1,163],"proposes":[2],"a":[3,69,83],"simple":[4],"adaptive":[5,19,45,150,187],"sensing":[6,51,104,152],"and":[7,21,101,158,173,196],"group":[8,171],"testing":[9],"algorithm":[10,60,114,153],"for":[11],"sparse":[12],"signal":[13,71],"recovery.":[14],"The":[15,124],"algorithm,":[16],"termed":[17],"compressive":[18],"sense":[20],"search":[22],"(CASS),":[23],"is":[24,115,126,144],"shown":[25],"to":[26,67,129],"be":[27],"near-optimal":[28,155],"in":[29,44,133],"that":[30,81,166],"it":[31],"succeeds":[32,77],"at":[33,78],"the":[34,58,95,103,110,112,138,145,181],"lowest":[35],"possible":[36],"signal-to-noise-ratio":[37],"(SNR)":[38],"levels,":[39],"improving":[40],"on":[41,53],"previous":[42],"work":[43],"compressed":[46,50,92,122,151,169],"sensing.":[47,93,123,205],"Like":[48],"traditional":[49],"based":[52],"random":[54],"nonadaptive":[55,202],"design":[56],"matrices,":[57],"CASS":[59,76,125],"requires":[61],"only":[62],"k":[63],"log":[64,85],"n":[65,86],"measurements":[66,184],"recover":[68],"k-sparse":[70],"of":[72,97,99,140,148,183,189],"dimension":[73],"n.":[74],"However,":[75],"SNR":[79],"levels":[80],"are":[82],"factor":[84],"less":[87,117],"than":[88,120],"required":[89],"by":[90],"standard":[91,121],"From":[94],"point":[96],"view":[98],"constructing":[100],"implementing":[102],"operation":[105],"as":[106,108],"well":[107],"computing":[109],"reconstruction,":[111],"proposed":[113],"substantially":[116],"computationally":[118],"intensive":[119],"also":[127,164,193],"demonstrated":[128],"perform":[130],"considerably":[131],"better":[132],"practice":[134],"through":[135],"simulation.":[136],"To":[137],"best":[139],"our":[141],"knowledge,":[142],"this":[143],"first":[146],"demonstration":[147],"an":[149,176],"with":[154,201],"theoretical":[156],"guarantees":[157],"excellent":[159],"practical":[160],"performance.":[161],"shows":[165],"methods":[167,191],"like":[168],"sensing,":[170],"testing,":[172],"pooling":[174],"have":[175],"advantage":[177],"beyond":[178],"simply":[179],"reducing":[180],"number":[182],"or":[185],"tests-":[186],"versions":[188],"such":[190],"can":[192],"improve":[194],"detection":[195],"estimation":[197],"performance":[198],"when":[199],"compared":[200],"direct":[203],"(uncompressed)":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":18},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
