{"id":"https://openalex.org/W4312231170","doi":"https://doi.org/10.1109/tsp.2022.3216708","title":"A General Compressive Sensing Construct Using Density Evolution","display_name":"A General Compressive Sensing Construct Using Density Evolution","publication_year":2022,"publication_date":"2022-10-27","ids":{"openalex":"https://openalex.org/W4312231170","doi":"https://doi.org/10.1109/tsp.2022.3216708"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2022.3216708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3216708","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-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/A5025285986","display_name":"Hang Zhang","orcid":"https://orcid.org/0000-0003-2774-1792"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hang Zhang","raw_affiliation_strings":["School of Electrical, Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005771765","display_name":"Afshin Abdi","orcid":"https://orcid.org/0000-0002-2038-4772"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Afshin Abdi","raw_affiliation_strings":["School of Electrical, Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083854532","display_name":"Faramarz Fekri","orcid":"https://orcid.org/0000-0001-5008-8803"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Faramarz Fekri","raw_affiliation_strings":["School of Electrical, Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025285986"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.3251,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51639421,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"72","issue":null,"first_page":"203","last_page":"218"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9908999800682068,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9857000112533569,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.7340461611747742},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44207119941711426},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.4068564474582672},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3920956254005432},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3637879490852356},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.11312374472618103}],"concepts":[{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.7340461611747742},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44207119941711426},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.4068564474582672},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3920956254005432},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3637879490852356},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.11312374472618103}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2022.3216708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3216708","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1286199842","display_name":null,"funder_award_id":"ECCS-2027195","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G3171998668","display_name":null,"funder_award_id":"CCF-2007807","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"}],"funders":[{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W143004564","https://openalex.org/W1480376833","https://openalex.org/W1536930200","https://openalex.org/W1574525563","https://openalex.org/W1977520307","https://openalex.org/W1991468147","https://openalex.org/W2006334021","https://openalex.org/W2010824638","https://openalex.org/W2014725748","https://openalex.org/W2018322127","https://openalex.org/W2033375925","https://openalex.org/W2046728133","https://openalex.org/W2068136251","https://openalex.org/W2073868986","https://openalex.org/W2080175226","https://openalex.org/W2082029531","https://openalex.org/W2090171991","https://openalex.org/W2097323375","https://openalex.org/W2102251435","https://openalex.org/W2107086875","https://openalex.org/W2108394050","https://openalex.org/W2112796928","https://openalex.org/W2112858600","https://openalex.org/W2118420528","https://openalex.org/W2118473837","https://openalex.org/W2122825543","https://openalex.org/W2127271355","https://openalex.org/W2127490352","https://openalex.org/W2128765501","https://openalex.org/W2129031807","https://openalex.org/W2135046866","https://openalex.org/W2135859872","https://openalex.org/W2140466267","https://openalex.org/W2145096794","https://openalex.org/W2151781750","https://openalex.org/W2164452299","https://openalex.org/W2167077875","https://openalex.org/W2169732368","https://openalex.org/W2289917018","https://openalex.org/W2541922030","https://openalex.org/W2566505556","https://openalex.org/W2610971674","https://openalex.org/W2963322354","https://openalex.org/W2964322393","https://openalex.org/W2965130990","https://openalex.org/W2997644599","https://openalex.org/W3023279444","https://openalex.org/W3098848552","https://openalex.org/W3100706365","https://openalex.org/W3105033759","https://openalex.org/W3106214974","https://openalex.org/W3216920221","https://openalex.org/W4250143236","https://openalex.org/W6677886596","https://openalex.org/W6682241100"],"related_works":["https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2051487156","https://openalex.org/W2504004674","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2600246793"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,8,21,84,89,105,130,138,147,231,242],"general":[4],"framework":[5,106,167],"to":[6,265],"design":[7,109,119,229,271],"sparse":[9],"sensing":[10,123,132,187,227,237],"matrix":[11,111],"<inline-formula":[12,25,39,47,56,112,126,134,179,207,216,246],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[13,26,40,48,57,113,127,135,180,208,217,247],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[14,27,41,49,58,114,128,136,181,209,218,248],"notation=\"LaTeX\">$\\mathbf":[15,28,42,50,59,115],"{A}\\in":[16],"\\mathbb{R}^{m\\times":[17],"n}$</tex-math></inline-formula>":[18],",":[19,37,46,54],"for":[20,107,121,245],"linear":[22],"measurement":[23,72],"system":[24,228],"{y}":[29,43],"=":[30],"\\mathbf":[31,35],"{Ax}^{\\natural":[32],"}":[33],"+":[34],"{w}$</tex-math></inline-formula>":[36],"where":[38],"\\in":[44],"\\mathbb{R}^{m}$</tex-math></inline-formula>":[45,61],"{x}^{\\natural":[51],"}\\in":[52],"\\mathbb{R}^{n}$</tex-math></inline-formula>":[53],"and":[55,70,103,133,143,159,163,213,259],"{w}\\in":[60],"denote":[62],"the":[63,65,71,77,81,99,108,122,154,170,174,185,191,195,226,267],"measurements,":[64],"signal":[66,78,197],"with":[67,255],"certain":[68],"structures,":[69],"noise,":[73],"respectively.":[74],"By":[75],"viewing":[76],"reconstruction":[79],"from":[80,95],"measurements":[82],"as":[83,230],"message":[85],"passing":[86],"algorithm":[87],"over":[88],"graphical":[90],"model,":[91],"we":[92,152,189,235],"leverage":[93],"tools":[94],"coding":[96],"theory,":[97],"namely":[98],"density":[100],"evolution":[101],"technique,":[102],"provide":[104,241],"of":[110,269],"{A}$</tex-math></inline-formula>":[116],".":[117,183,222,252],"Two":[118],"schemes":[120],"matrix,":[124],"namely,":[125,204],"notation=\"LaTeX\">$(i)$</tex-math></inline-formula>":[129],"regular":[131],"notation=\"LaTeX\">$(ii)$</tex-math></inline-formula>":[137],"preferential":[139,186,243],"sensing,":[140],"are":[141,144,262],"proposed":[142],"incorporated":[145],"into":[146,200],"single":[148],"framework.":[149],"As":[150],"illustration,":[151],"consider":[153,190],"Lasso":[155],"regression,":[156,158],"ridge":[157],"elastic":[160],"net":[161],"regression;":[162],"show":[164],"that":[165],"our":[166,270],"can":[168,240],"reproduce":[169],"classical":[171],"results":[172],"on":[173],"minimum":[175],"sensor":[176],"number,":[177],"i.e.,":[178],"notation=\"LaTeX\">$m$</tex-math></inline-formula>":[182],"In":[184],"scenario,":[188],"case":[192],"in":[193],"which":[194,239],"whole":[196],"is":[198],"divided":[199],"two":[201],"disjoint":[202],"parts,":[203],"high-priority":[205],"part":[206,215],"notation=\"LaTeX\">$\\boldsymbol{x}^{\\natural":[210,219,249],"}_{\\mathsf":[211,220,250],"{H}}$</tex-math></inline-formula>":[212,251],"low-priority":[214],"{L}}$</tex-math></inline-formula>":[221],"Then,":[223],"by":[224],"formulating":[225],"bi-convex":[232],"optimization":[233],"problem,":[234],"obtain":[236],"matrices":[238],"treatment":[244],"Numerical":[253],"experiments":[254],"both":[256],"synthetic":[257],"data":[258,261],"real-world":[260],"also":[263],"provided":[264],"verify":[266],"effectiveness":[268],"scheme.":[272]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
