{"id":"https://openalex.org/W2054124223","doi":"https://doi.org/10.1109/ciss.2013.6552256","title":"Performance regions in compressed sensing from noisy measurements","display_name":"Performance regions in compressed sensing from noisy measurements","publication_year":2013,"publication_date":"2013-03-01","ids":{"openalex":"https://openalex.org/W2054124223","doi":"https://doi.org/10.1109/ciss.2013.6552256","mag":"2054124223"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2013.6552256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2013.6552256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 47th Annual Conference on Information Sciences and Systems (CISS)","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/A5102895976","display_name":"Junan Zhu","orcid":"https://orcid.org/0000-0002-5036-5636"},"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":"Junan Zhu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA","Dept. of Electr. & Comput. Eng, North Carolina State Univ., Raleigh, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng, North Carolina State Univ., Raleigh, NC, USA","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, NC, USA","Dept. of Electr. & Comput. Eng, North Carolina State Univ., Raleigh, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng, North Carolina State Univ., Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102895976"],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":2.8187,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.89747301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"26","issue":null,"first_page":"1","last_page":"6"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9994000196456909,"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":0.8207168579101562},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.6495058536529541},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6432929635047913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6013834476470947},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5513383150100708},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5477742552757263},{"id":"https://openalex.org/keywords/observational-error","display_name":"Observational error","score":0.48835107684135437},{"id":"https://openalex.org/keywords/reconstruction-algorithm","display_name":"Reconstruction algorithm","score":0.4871906638145447},{"id":"https://openalex.org/keywords/propagation-of-uncertainty","display_name":"Propagation of uncertainty","score":0.47971028089523315},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.4670509397983551},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.42008256912231445},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4080328047275543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3566470742225647},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.341927707195282},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3114522099494934},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1930704116821289},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.1662103235721588},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12696155905723572},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07431182265281677}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8207168579101562},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.6495058536529541},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6432929635047913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6013834476470947},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5513383150100708},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5477742552757263},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.48835107684135437},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.4871906638145447},{"id":"https://openalex.org/C123614077","wikidata":"https://www.wikidata.org/wiki/Q1364905","display_name":"Propagation of uncertainty","level":2,"score":0.47971028089523315},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.4670509397983551},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.42008256912231445},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4080328047275543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3566470742225647},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.341927707195282},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3114522099494934},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1930704116821289},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.1662103235721588},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12696155905723572},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07431182265281677},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ciss.2013.6552256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2013.6552256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 47th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.369.8470","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.369.8470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://people.engr.ncsu.edu/dzbaron/pdf/ciss2013ZB.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.383.1937","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.383.1937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www4.ncsu.edu/~jzhu9/117_final.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.745.8838","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.745.8838","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1302.4405.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1676119944","https://openalex.org/W2018322127","https://openalex.org/W2023584248","https://openalex.org/W2029458236","https://openalex.org/W2050556604","https://openalex.org/W2060823036","https://openalex.org/W2073868986","https://openalex.org/W2099111195","https://openalex.org/W2104266187","https://openalex.org/W2104357403","https://openalex.org/W2116394223","https://openalex.org/W2135859872","https://openalex.org/W2138358551","https://openalex.org/W2144015943","https://openalex.org/W2145096794","https://openalex.org/W2154304330","https://openalex.org/W2166670884","https://openalex.org/W2211290501","https://openalex.org/W2295513759","https://openalex.org/W2296616510","https://openalex.org/W2478708596","https://openalex.org/W2537629200","https://openalex.org/W2550925785","https://openalex.org/W2610971674","https://openalex.org/W2951090971","https://openalex.org/W2951271920","https://openalex.org/W3098848552","https://openalex.org/W3100706365","https://openalex.org/W3105033759","https://openalex.org/W4250955649","https://openalex.org/W6637203886","https://openalex.org/W6663071507","https://openalex.org/W6684101231","https://openalex.org/W6729847528"],"related_works":["https://openalex.org/W3104324607","https://openalex.org/W2352157283","https://openalex.org/W4206981968","https://openalex.org/W4285251805","https://openalex.org/W2024417168","https://openalex.org/W2308961925","https://openalex.org/W1896487466","https://openalex.org/W4323030227","https://openalex.org/W2960932467","https://openalex.org/W2133018159"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"compressed":[3],"sensing":[4],"with":[5,78,92],"noisy":[6],"measurements":[7],"is":[8,15,24,76],"addressed.":[9],"The":[10,21],"theoretically":[11],"optimal":[12],"reconstruction":[13,40,56,90],"error":[14,41,94],"studied":[16],"by":[17],"evaluating":[18],"Tanaka's":[19,81],"equation.":[20],"main":[22],"contribution":[23],"to":[25,80,88],"show":[26],"that":[27,96],"in":[28,58,71,95],"several":[29],"regions,":[30],"which":[31],"have":[32],"different":[33],"measurement":[34,64],"rates":[35],"and":[36,66,83],"noise":[37,68],"levels,":[38],"the":[39,48,51,59,63,67],"behaves":[42],"differently.":[43],"This":[44],"paper":[45],"also":[46],"evaluates":[47],"performance":[49],"of":[50],"belief":[52],"propagation":[53],"(BP)":[54],"signal":[55],"method":[57],"regions":[60],"discovered.":[61],"When":[62],"rate":[65],"level":[69],"lie":[70],"a":[72],"certain":[73],"region,":[74],"BP":[75],"suboptimal":[77],"respect":[79],"equation,":[82],"it":[84],"may":[85],"be":[86],"possible":[87],"develop":[89],"algorithms":[91],"lower":[93],"region.":[97]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
