{"id":"https://openalex.org/W1987485949","doi":"https://doi.org/10.1109/ssp.2012.6319767","title":"Optimal estimation with arbitrary error metrics in compressed sensing","display_name":"Optimal estimation with arbitrary error metrics in compressed sensing","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W1987485949","doi":"https://doi.org/10.1109/ssp.2012.6319767","mag":"1987485949"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2012.6319767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2012.6319767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Statistical Signal Processing Workshop (SSP)","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/A5035567238","display_name":"Jin Tan","orcid":"https://orcid.org/0000-0001-6550-964X"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jin Tan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, USA","Dept. of electrical and computer engineering, North Carolina State University, Raleigh, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, USA","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Dept. of electrical and computer engineering, North Carolina State University, Raleigh, USA#TAB#","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091704246","display_name":"Danielle Carmon","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danielle Carmon","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, USA","Dept. of electrical and computer engineering, North Carolina State University, Raleigh, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, USA","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Dept. of electrical and computer engineering, North Carolina State University, Raleigh, USA#TAB#","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037316256","display_name":"Dror Baron","orcid":"https://orcid.org/0000-0002-6371-8496"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dror Baron","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, USA","Dept. of electrical and computer engineering, North Carolina State University, Raleigh, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, USA","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Dept. of electrical and computer engineering, North Carolina State University, Raleigh, USA#TAB#","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035567238"],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":0.6858,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69131188,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"56","issue":null,"first_page":"588","last_page":"591"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9945999979972839,"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/metric","display_name":"Metric (unit)","score":0.7459216117858887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6244831681251526},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6208872199058533},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6151684522628784},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.5681392550468445},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.5616013407707214},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4965079426765442},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4372311234474182},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36067527532577515},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3361063003540039},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16964152455329895},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14018788933753967}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7459216117858887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6244831681251526},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6208872199058533},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6151684522628784},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.5681392550468445},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.5616013407707214},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4965079426765442},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4372311234474182},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36067527532577515},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3361063003540039},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16964152455329895},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14018788933753967},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","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},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp.2012.6319767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2012.6319767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1492251543","https://openalex.org/W1663973292","https://openalex.org/W2009086942","https://openalex.org/W2023584248","https://openalex.org/W2077621940","https://openalex.org/W2082029531","https://openalex.org/W2090842051","https://openalex.org/W2101435685","https://openalex.org/W2104357403","https://openalex.org/W2117577039","https://openalex.org/W2132660002","https://openalex.org/W2135859872","https://openalex.org/W2138358551","https://openalex.org/W2143236825","https://openalex.org/W2166670884","https://openalex.org/W2537629200","https://openalex.org/W2550925785","https://openalex.org/W2951919384","https://openalex.org/W2952013407","https://openalex.org/W6729847528"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W4313561376","https://openalex.org/W1881631164","https://openalex.org/W3103825105","https://openalex.org/W3027880158","https://openalex.org/W1617565119","https://openalex.org/W2358292267"],"abstract_inverted_index":{"Noisy":[0],"compressed":[1,43],"sensing":[2,44],"deals":[3],"with":[4,46],"the":[5,19,61,72,79,94,109,116,138],"estimation":[6,20],"of":[7,18],"a":[8,41,53,89],"system":[9],"input":[10],"from":[11],"its":[12],"noise-corrupted":[13],"linear":[14],"measurements.":[15],"The":[16,122],"performance":[17,97,118],"is":[21,84,111],"usually":[22],"quantified":[23],"by":[24,64,71],"some":[25],"standard":[26],"error":[27,32,49,68,102,113,145],"metric":[28,69,110],"such":[29,131],"as":[30,132],"squared":[31],"or":[33],"support":[34],"error.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39,87],"consider":[40],"noisy":[42],"problem":[45],"any":[47,100],"arbitrary":[48,67],"metric.":[50,103,146],"We":[51,74,104],"propose":[52],"simple,":[54],"fast,":[55],"and":[56,86,114,136],"general":[57,90],"algorithm":[58,83,128],"that":[59,126],"estimates":[60],"original":[62],"signal":[63],"minimizing":[65],"an":[66,106],"defined":[70],"user.":[73],"verify":[75],"that,":[76],"owing":[77],"to":[78,92],"decoupling":[80],"principle,":[81],"our":[82,127,143],"optimal,":[85],"describe":[88],"method":[91],"compute":[93],"fundamental":[95],"information-theoretic":[96],"limit":[98,119,141],"for":[99,120,142],"well-defined":[101],"provide":[105],"example":[107,144],"where":[108],"absolute":[112],"give":[115],"theoretical":[117,140],"it.":[121],"experimental":[123],"results":[124],"show":[125],"outperforms":[129],"methods":[130],"relaxed":[133],"belief":[134],"propagation,":[135],"reaches":[137],"suggested":[139]},"counts_by_year":[{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
