{"id":"https://openalex.org/W4409734661","doi":"https://doi.org/10.1049/sil2/1233853","title":"Methods of Sparse Measurement Matrix Optimization for Compressed Sensing","display_name":"Methods of Sparse Measurement Matrix Optimization for Compressed Sensing","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409734661","doi":"https://doi.org/10.1049/sil2/1233853"},"language":"en","primary_location":{"id":"doi:10.1049/sil2/1233853","is_oa":true,"landing_page_url":"https://doi.org/10.1049/sil2/1233853","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/sil2/1233853","source":{"id":"https://openalex.org/S30889260","display_name":"IET Signal Processing","issn_l":"1751-9675","issn":["1751-9675","1751-9683"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/sil2/1233853","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077231957","display_name":"Renjie Yi","orcid":"https://orcid.org/0000-0001-5373-3927"},"institutions":[{"id":"https://openalex.org/I4210167232","display_name":"PLA Air Force Aviation University","ror":"https://ror.org/031g2ra50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210167232"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Renjie Yi","raw_affiliation_strings":["Department of Communication ,  Aviation University of Air Force ,  Changchun ,  China , cafuc.edu.cn"],"raw_orcid":"https://orcid.org/0000-0001-5373-3927","affiliations":[{"raw_affiliation_string":"Department of Communication ,  Aviation University of Air Force ,  Changchun ,  China , cafuc.edu.cn","institution_ids":["https://openalex.org/I4210167232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061215318","display_name":"Shunan Han","orcid":"https://orcid.org/0000-0001-9642-4147"},"institutions":[{"id":"https://openalex.org/I4210167232","display_name":"PLA Air Force Aviation University","ror":"https://ror.org/031g2ra50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210167232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunan Han","raw_affiliation_strings":["Department of Communication ,  Aviation University of Air Force ,  Changchun ,  China , cafuc.edu.cn"],"raw_orcid":"https://orcid.org/0000-0001-9642-4147","affiliations":[{"raw_affiliation_string":"Department of Communication ,  Aviation University of Air Force ,  Changchun ,  China , cafuc.edu.cn","institution_ids":["https://openalex.org/I4210167232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092400740","display_name":"Peng Liu","orcid":"https://orcid.org/0009-0002-5758-7896"},"institutions":[{"id":"https://openalex.org/I4210167232","display_name":"PLA Air Force Aviation University","ror":"https://ror.org/031g2ra50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210167232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Liu","raw_affiliation_strings":["Department of Communication ,  Aviation University of Air Force ,  Changchun ,  China , cafuc.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communication ,  Aviation University of Air Force ,  Changchun ,  China , cafuc.edu.cn","institution_ids":["https://openalex.org/I4210167232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335201","display_name":"Bo Zhang","orcid":"https://orcid.org/0000-0001-7963-4572"},"institutions":[{"id":"https://openalex.org/I4210167232","display_name":"PLA Air Force Aviation University","ror":"https://ror.org/031g2ra50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210167232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Zhang","raw_affiliation_strings":["Department of Communication ,  Aviation University of Air Force ,  Changchun ,  China , cafuc.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communication ,  Aviation University of Air Force ,  Changchun ,  China , cafuc.edu.cn","institution_ids":["https://openalex.org/I4210167232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056727486","display_name":"Hang Liu","orcid":"https://orcid.org/0000-0002-0801-6897"},"institutions":[{"id":"https://openalex.org/I4210118317","display_name":"81th Hospital of PLA","ror":"https://ror.org/02xxx6w64","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210118317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Liu","raw_affiliation_strings":["Department of Information Assurance ,  Unit 93117 of PLA ,  Nanjing ,  China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Assurance ,  Unit 93117 of PLA ,  Nanjing ,  China","institution_ids":["https://openalex.org/I4210118317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077231957"],"corresponding_institution_ids":["https://openalex.org/I4210167232"],"apc_list":{"value":2000,"currency":"EUR","value_usd":2200},"apc_paid":{"value":2000,"currency":"EUR","value_usd":2200},"fwci":0.8209,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66225166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"2025","issue":"1","first_page":null,"last_page":null},"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/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.7861741185188293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6307024955749512},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.6184989213943481},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5334126353263855},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5133218169212341},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39659547805786133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33901911973953247},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32810670137405396},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1458468735218048},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07217690348625183}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7861741185188293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6307024955749512},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.6184989213943481},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5334126353263855},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5133218169212341},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39659547805786133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33901911973953247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32810670137405396},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1458468735218048},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07217690348625183},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1049/sil2/1233853","is_oa":true,"landing_page_url":"https://doi.org/10.1049/sil2/1233853","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/sil2/1233853","source":{"id":"https://openalex.org/S30889260","display_name":"IET Signal Processing","issn_l":"1751-9675","issn":["1751-9675","1751-9683"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ae4a61ee2d7a4dd9adc70b8e3b840192","is_oa":true,"landing_page_url":"https://doaj.org/article/ae4a61ee2d7a4dd9adc70b8e3b840192","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IET Signal Processing, Vol 2025 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1049/sil2/1233853","is_oa":true,"landing_page_url":"https://doi.org/10.1049/sil2/1233853","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/sil2/1233853","source":{"id":"https://openalex.org/S30889260","display_name":"IET Signal Processing","issn_l":"1751-9675","issn":["1751-9675","1751-9683"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409734661.pdf","grobid_xml":"https://content.openalex.org/works/W4409734661.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1620362451","https://openalex.org/W1654257729","https://openalex.org/W1966946151","https://openalex.org/W1971402995","https://openalex.org/W1972091546","https://openalex.org/W1980287119","https://openalex.org/W1988720110","https://openalex.org/W2009581709","https://openalex.org/W2026151704","https://openalex.org/W2027740031","https://openalex.org/W2035458709","https://openalex.org/W2046728133","https://openalex.org/W2064343052","https://openalex.org/W2065321782","https://openalex.org/W2094235750","https://openalex.org/W2127271355","https://openalex.org/W2129638195","https://openalex.org/W2134033146","https://openalex.org/W2138548210","https://openalex.org/W2153663612","https://openalex.org/W2154332973","https://openalex.org/W2169382889","https://openalex.org/W2313431667","https://openalex.org/W2359789365","https://openalex.org/W2586815193","https://openalex.org/W2592246480","https://openalex.org/W2789612570","https://openalex.org/W2792799270","https://openalex.org/W2913457460","https://openalex.org/W2936995161","https://openalex.org/W2964308901","https://openalex.org/W3105952791","https://openalex.org/W3116649222","https://openalex.org/W3121700522","https://openalex.org/W3128537481","https://openalex.org/W3171695320","https://openalex.org/W3186636492","https://openalex.org/W4206492857","https://openalex.org/W4206533165","https://openalex.org/W4213458326","https://openalex.org/W4225531520","https://openalex.org/W4250955649","https://openalex.org/W4309378521","https://openalex.org/W4320477911","https://openalex.org/W4377108303","https://openalex.org/W4385431449","https://openalex.org/W4393176940"],"related_works":["https://openalex.org/W1964749215","https://openalex.org/W2091883426","https://openalex.org/W3011821305","https://openalex.org/W3173235360","https://openalex.org/W2737338842","https://openalex.org/W2174948646","https://openalex.org/W3005946484","https://openalex.org/W2024017047","https://openalex.org/W4318256793","https://openalex.org/W2051410394"],"abstract_inverted_index":{"In":[0],"compressed":[1],"sensing":[2,79],"(CS),":[3],"a":[4,16,38],"sparse":[5,55,60,115],"measurement":[6,32,56,61,116],"matrix":[7,18,33,62,76,80,94,117],"with":[8,37],"few":[9],"nonzero":[10],"entries":[11],"is":[12,63,95,118],"more":[13],"competitive":[14],"than":[15],"dense":[17],"in":[19,146],"reducing":[20],"the":[21,44,50,54,67,71,74,78,82,87,91,99,114,124,139],"number":[22],"of":[23,53,70,77,126,148],"multiplication":[24],"units.":[25],"Recent":[26],"studies":[27],"indicate":[28],"that":[29,138],"an":[30,107],"optimized":[31,59],"having":[34],"low":[35],"coherence":[36,104],"specified":[39],"dictionary":[40],"can":[41],"significantly":[42],"improve":[43],"reconstruction":[45,149],"performance.":[46,150],"This":[47],"paper":[48],"considers":[49],"optimization":[51,130],"problem":[52],"matrix.":[57,85],"The":[58,134],"formulated":[64],"by":[65],"minimizing":[66],"Frobenius":[68],"norm":[69],"difference":[72],"between":[73],"Gram":[75,84,93],"and":[81,102],"target":[83,92],"First,":[86],"approach":[88],"for":[89,112],"updating":[90,113],"designed":[96],"to":[97,120],"reduce":[98],"maximal,":[100],"average,":[101],"global":[103],"simultaneously.":[105],"Then,":[106],"improved":[108],"momentum":[109],"gradient":[110],"algorithm":[111],"derived":[119],"accelerate":[121],"convergence.":[122],"On":[123],"basis":[125],"alternating":[127],"minimization,":[128],"two":[129],"algorithms":[131,141],"are":[132],"proposed.":[133],"experimental":[135],"results":[136],"show":[137],"proposed":[140],"outperform":[142],"several":[143],"state\u2010of\u2010the\u2010art":[144],"methods":[145],"terms":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}
