{"id":"https://openalex.org/W2011790463","doi":"https://doi.org/10.1109/icc.2012.6364058","title":"Reconstruction of jointly sparse signals using iterative hard thresholding","display_name":"Reconstruction of jointly sparse signals using iterative hard thresholding","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2011790463","doi":"https://doi.org/10.1109/icc.2012.6364058","mag":"2011790463"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2012.6364058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2012.6364058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Communications (ICC)","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/A5031533607","display_name":"Alireza Makhzani","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Alireza Makhzani","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Toronto, Canada","Department of Electrical & Computer Engineering University of Toronto"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Department of Electrical & Computer Engineering University of Toronto","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089951737","display_name":"Shahrokh Valaee","orcid":"https://orcid.org/0000-0001-6254-1660"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Shahrokh Valaee","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Toronto, Canada","Department of Electrical & Computer Engineering University of Toronto"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Department of Electrical & Computer Engineering University of Toronto","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031533607"],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":1.3715,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79790922,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"3564","last_page":"3568"},"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":0.9991999864578247,"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":0.9990000128746033,"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":0.7591228485107422},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.7575234770774841},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7319158911705017},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5708510279655457},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5612636804580688},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5397158265113831},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5086499452590942},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4687991738319397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3463899493217468},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13601508736610413}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7591228485107422},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.7575234770774841},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7319158911705017},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5708510279655457},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5612636804580688},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5397158265113831},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5086499452590942},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4687991738319397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3463899493217468},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13601508736610413},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2012.6364058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2012.6364058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W78749393","https://openalex.org/W1980454827","https://openalex.org/W2074054045","https://openalex.org/W2106407813","https://openalex.org/W2123023890","https://openalex.org/W2129319777","https://openalex.org/W2135338342","https://openalex.org/W2153609494","https://openalex.org/W2162409952","https://openalex.org/W2296616510","https://openalex.org/W2963322354","https://openalex.org/W3141391850","https://openalex.org/W4250955649","https://openalex.org/W6820645939"],"related_works":["https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2778153218","https://openalex.org/W2026015445","https://openalex.org/W2379256376","https://openalex.org/W2107703637","https://openalex.org/W2381127329","https://openalex.org/W3015194228","https://openalex.org/W2979334915"],"abstract_inverted_index":{"There":[0],"is":[1,58,113],"a":[2,18],"recent":[3],"interest":[4],"in":[5,17],"developing":[6],"algorithms":[7,40,69,121],"for":[8,38,70,122],"the":[9,61,78,90,102,116,119],"reconstruction":[10,104],"of":[11,21,29,92,118],"jointly":[12,84,123],"sparse":[13,85,124],"signals,":[14],"which":[15,39,57,101],"arises":[16],"large":[19,35],"number":[20],"applications":[22],"such":[23],"as":[24],"sensor":[25],"networks.":[26],"In":[27,73],"many":[28],"these":[30],"applications,":[31],"we":[32,76],"encounter":[33],"extremely":[34],"problem":[36],"sizes":[37],"with":[41],"low":[42],"computational":[43],"complexity":[44],"are":[45],"required.":[46],"Recently,":[47],"an":[48],"algorithm":[49,82,95,112],"called":[50],"iterative":[51,79],"hard":[52,80],"thresholding":[53,81],"has":[54],"been":[55],"proposed,":[56],"faster":[59,114],"than":[60,115],"\u2113":[62],"<sub":[63],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[64],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[65],"-minimization":[66],"and":[67,87],"greedy":[68],"compressed":[71],"sensing.":[72],"this":[74],"work,":[75],"extend":[77],"to":[83],"signals":[86,125],"will":[88,108],"investigate":[89],"performance":[91],"our":[93,111],"proposed":[94],"analytically":[96],"by":[97],"giving":[98],"conditions":[99],"under":[100],"exact":[103],"could":[105],"happen.":[106],"We":[107],"show":[109],"that":[110],"state":[117],"art":[120],"while":[126],"showing":[127],"similar":[128],"performance.":[129]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
