{"id":"https://openalex.org/W2143839235","doi":"https://doi.org/10.1109/wcnc.2013.6555019","title":"Performance bounds of compressed sensing recovery algorithms for sparse noisy signals","display_name":"Performance bounds of compressed sensing recovery algorithms for sparse noisy signals","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2143839235","doi":"https://doi.org/10.1109/wcnc.2013.6555019","mag":"2143839235"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc.2013.6555019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2013.6555019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5101791886","display_name":"Xiangling Li","orcid":"https://orcid.org/0000-0003-2379-9161"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangling Li","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Post and Telecommunications, 100876, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Post and Telecommunications, 100876, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018587643","display_name":"Qimei Cui","orcid":"https://orcid.org/0000-0003-1720-220X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qimei Cui","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Post and Telecommunications, 100876, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Post and Telecommunications, 100876, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624765","display_name":"Xiaofeng Tao","orcid":"https://orcid.org/0000-0001-9518-1622"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Tao","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Post and Telecommunications, 100876, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Post and Telecommunications, 100876, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102318433","display_name":"Xianjun Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianjun Yang","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Post and Telecommunications, 100876, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Post and Telecommunications, 100876, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102837712","display_name":"Waheed ur Rehman","orcid":"https://orcid.org/0000-0002-6380-6787"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Waheed ur Rehman","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Post and Telecommunications, 100876, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Post and Telecommunications, 100876, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017544512","display_name":"Y. Jay Guo","orcid":"https://orcid.org/0000-0001-6008-9682"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Y. Jay Guo","raw_affiliation_strings":["CSIRO ICT Centre, Australia","CSIRO ICT Centre Australia"],"affiliations":[{"raw_affiliation_string":"CSIRO ICT Centre, Australia","institution_ids":["https://openalex.org/I1292875679"]},{"raw_affiliation_string":"CSIRO ICT Centre Australia","institution_ids":["https://openalex.org/I1292875679"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101791886"],"corresponding_institution_ids":["https://openalex.org/I139759216","https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.3523,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65736016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"2884","last_page":"2889"},"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":0.9995999932289124,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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":0.8422240018844604},{"id":"https://openalex.org/keywords/basis-pursuit","display_name":"Basis pursuit","score":0.7964677214622498},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.7894793152809143},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6990455985069275},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6769767999649048},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.6342971324920654},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6147563457489014},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6109346151351929},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5978766083717346},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5644054412841797},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.478021502494812},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.4553038477897644},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4175998866558075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2960512936115265},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25855737924575806},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11122140288352966}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8422240018844604},{"id":"https://openalex.org/C99217422","wikidata":"https://www.wikidata.org/wiki/Q4867576","display_name":"Basis pursuit","level":4,"score":0.7964677214622498},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.7894793152809143},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6990455985069275},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6769767999649048},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.6342971324920654},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6147563457489014},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6109346151351929},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5978766083717346},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5644054412841797},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.478021502494812},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.4553038477897644},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4175998866558075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2960512936115265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25855737924575806},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11122140288352966},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"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":2,"locations":[{"id":"doi:10.1109/wcnc.2013.6555019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2013.6555019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/120134","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/120134","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W391578156","https://openalex.org/W1038790181","https://openalex.org/W1500801837","https://openalex.org/W1539386741","https://openalex.org/W1971094390","https://openalex.org/W1986931325","https://openalex.org/W2034260606","https://openalex.org/W2083993605","https://openalex.org/W2086869478","https://openalex.org/W2098704159","https://openalex.org/W2104783034","https://openalex.org/W2109379066","https://openalex.org/W2116581043","https://openalex.org/W2119667497","https://openalex.org/W2128659236","https://openalex.org/W2141426461","https://openalex.org/W2147656689","https://openalex.org/W2158973156","https://openalex.org/W2164452299","https://openalex.org/W2965333369","https://openalex.org/W3099718522","https://openalex.org/W3101339175","https://openalex.org/W3101990100","https://openalex.org/W3105340263","https://openalex.org/W4250955649","https://openalex.org/W6639172559"],"related_works":["https://openalex.org/W2378166785","https://openalex.org/W2169904627","https://openalex.org/W2382972663","https://openalex.org/W2371951202","https://openalex.org/W2388133936","https://openalex.org/W2436826437","https://openalex.org/W2340242818","https://openalex.org/W2103001330","https://openalex.org/W2465351041","https://openalex.org/W2241396314"],"abstract_inverted_index":{"Recently,":[0],"the":[1,5,15,21,26,31,36,40,49,52,58,68,74,78,100,106,113,117,122,125,130,133,141,146,149,154,161,164,167,177,180,191,195,201],"performance":[2,75,98,193],"bounds":[3,76,169],"of":[4,20,99,124,132,148],"compressed":[6,53],"sensing":[7],"(CS)":[8],"recovery":[9,81,101,198],"algorithms":[10,102,199],"have":[11],"been":[12],"investigated":[13],"in":[14],"noisy":[16,27,44,69,119,202],"setting.":[17],"However,":[18],"most":[19],"papers":[22],"only":[23],"focus":[24],"on":[25,67,129],"measurement":[28,155],"model":[29,46,71],"where":[30,47],"signal":[32,45,50,70,115,203],"is":[33,61,103,151],"noiseless":[34],"and":[35,51,72,84,92,116],"noise":[37,126,150,182],"enters":[38],"after":[39],"CS":[41],"operation.":[42],"The":[43,97,136,184],"both":[48],"measurements":[54],"are":[55,127,170],"contaminated":[56],"by":[57,175],"different":[59,181],"noises":[60],"not":[62],"considered.":[63],"This":[64],"paper":[65],"works":[66],"provides":[73],"for":[77,179],"following":[79],"popular":[80],"algorithms:":[82],"thresholding":[83],"orthogonal":[85],"matching":[86],"pursuit":[87,94],"(OMP),":[88],"Dantzig":[89],"selector":[90],"(DS)":[91],"basis":[93,131],"denoising":[95],"(BPDN).":[96],"quantified":[104,134],"as":[105],"\u2113":[107],"<inf":[108],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[109],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</inf>":[110],"distance":[111],"between":[112,160],"reconstructed":[114],"true":[118],"signal.":[120],"Next,":[121],"impacts":[123],"analyzed":[128],"performance.":[135],"analysis":[137],"results":[138,186],"show":[139,187],"that":[140,188],"effective":[142],"way":[143],"to":[144,152],"restrain":[145],"impact":[147],"choose":[153],"matrix":[156],"with":[157,172],"low":[158],"correlation":[159],"columns":[162],"or":[163],"rows.":[165],"Finally,":[166],"theoretical":[168],"verified":[171],"numerical":[173],"simulations":[174],"calculating":[176],"mean-squared-error":[178],"variances.":[183],"simulation":[185],"OMP":[189],"owns":[190],"better":[192],"than":[194],"other":[196],"three":[197],"under":[200],"model.":[204]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}