{"id":"https://openalex.org/W2097387277","doi":"https://doi.org/10.1109/allerton.2009.5394809","title":"Performance analysis of support recovery with joint sparsity constraints","display_name":"Performance analysis of support recovery with joint sparsity constraints","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2097387277","doi":"https://doi.org/10.1109/allerton.2009.5394809","mag":"2097387277"},"language":"en","primary_location":{"id":"doi:10.1109/allerton.2009.5394809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2009.5394809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-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/A5101848896","display_name":"Gongguo Tang","orcid":"https://orcid.org/0000-0002-7879-1338"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gongguo Tang","raw_affiliation_strings":["Department of Electrical Systems Engineering, Washington University of Saint Louis, Saint Louis, MO, USA","Dept. of Electrical&Systems Engineering, Washington University in St. Louis, St. Louis, MO 63130-1127"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Systems Engineering, Washington University of Saint Louis, Saint Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"Dept. of Electrical&Systems Engineering, Washington University in St. Louis, St. Louis, MO 63130-1127","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031212309","display_name":"Arye Nehorai","orcid":"https://orcid.org/0000-0002-9055-9865"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arye Nehorai","raw_affiliation_strings":["Department of Electrical Systems Engineering, Washington University of Saint Louis, Saint Louis, MO, USA","Dept. of Electrical&Sytems Engineering, Washington University in St. Louis, St. Louis, MO 63130-1127"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Systems Engineering, Washington University of Saint Louis, Saint Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"Dept. of Electrical&Sytems Engineering, Washington University in St. Louis, St. Louis, MO 63130-1127","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101848896"],"corresponding_institution_ids":["https://openalex.org/I204465549"],"apc_list":null,"apc_paid":null,"fwci":0.3502,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65001506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"258","last_page":"264"},"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":0.9994000196456909,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9973000288009644,"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":0.8633058667182922},{"id":"https://openalex.org/keywords/chernoff-bound","display_name":"Chernoff bound","score":0.6716972589492798},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.6491404175758362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6474021077156067},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5966209173202515},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5577695369720459},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5360700488090515},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5256639122962952},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.42814701795578003},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41884198784828186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3416629433631897},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19816479086875916}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8633058667182922},{"id":"https://openalex.org/C14539891","wikidata":"https://www.wikidata.org/wiki/Q1070305","display_name":"Chernoff bound","level":2,"score":0.6716972589492798},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.6491404175758362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6474021077156067},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5966209173202515},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5577695369720459},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5360700488090515},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5256639122962952},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.42814701795578003},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41884198784828186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3416629433631897},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19816479086875916},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/allerton.2009.5394809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2009.5394809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1500551892","https://openalex.org/W1986931325","https://openalex.org/W2003688737","https://openalex.org/W2029458236","https://openalex.org/W2034260606","https://openalex.org/W2049349100","https://openalex.org/W2082102720","https://openalex.org/W2091256848","https://openalex.org/W2101690732","https://openalex.org/W2103519107","https://openalex.org/W2104266187","https://openalex.org/W2115755118","https://openalex.org/W2118662752","https://openalex.org/W2119667497","https://openalex.org/W2122315118","https://openalex.org/W2127271355","https://openalex.org/W2129131372","https://openalex.org/W2140122025","https://openalex.org/W2141433180","https://openalex.org/W2145096794","https://openalex.org/W2160979406","https://openalex.org/W2162718566","https://openalex.org/W2289917018","https://openalex.org/W2296616510","https://openalex.org/W2478708596","https://openalex.org/W3105340263","https://openalex.org/W3148198191","https://openalex.org/W3179903767","https://openalex.org/W4250955649","https://openalex.org/W6675220212"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2043215516","https://openalex.org/W2019021992","https://openalex.org/W2156587627","https://openalex.org/W2950773291","https://openalex.org/W2085161376","https://openalex.org/W4251708888","https://openalex.org/W2128726013","https://openalex.org/W2149931498"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"analyze":[4],"the":[5,9,40,80,105,116],"performance":[6,126],"of":[7,42,74,79,150],"estimating":[8],"common":[10],"support":[11,25,101],"for":[12,44,76,136],"jointly":[13],"sparse":[14,89],"signals":[15],"based":[16,92],"on":[17,39,93],"their":[18,94],"projections":[19],"onto":[20],"lower-dimensional":[21],"space.":[22],"We":[23],"formulate":[24],"recovery":[26,102,138],"as":[27,98,100,142,144],"a":[28,71],"multiple-hypothesis":[29],"testing":[30],"problem":[31],"and":[32,36,52,66,132],"derive":[33],"both":[34],"upper":[35],"lower":[37],"bounds":[38,63],"probability":[41,73],"error":[43,75],"general":[45],"measurement":[46,60,81],"matrices,":[47],"by":[48],"using":[49],"Chernoff":[50],"bound":[51,107],"Fano's":[53],"inequality,":[54],"respectively.":[55],"When":[56],"applied":[57],"to":[58,69],"Gaussian":[59,117],"ensembles,":[61],"these":[62],"give":[64],"necessary":[65],"sufficient":[67,114],"conditions":[68],"guarantee":[70],"vanishing":[72],"majority":[77],"realizations":[78],"matrix.":[82],"Our":[83,121],"results":[84],"offer":[85],"surprising":[86],"insights":[87],"into":[88],"signal":[90,137,151],"reconstruction":[91],"projections.":[95],"For":[96],"example,":[97],"far":[99],"is":[103,111,119,130],"concerned,":[104],"well-known":[106],"in":[108,134,139],"compressive":[109],"sensing":[110,141],"generally":[112],"not":[113],"if":[115],"ensemble":[118],"used.":[120],"study":[122],"provides":[123],"an":[124],"alternative":[125],"measure,":[127],"one":[128],"that":[129],"natural":[131],"important":[133],"practice,":[135],"com-pressive":[140],"well":[143],"other":[145],"application":[146],"areas":[147],"taking":[148],"advantage":[149],"sparsity.":[152]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}