{"id":"https://openalex.org/W2583260319","doi":"https://doi.org/10.1109/icinfa.2016.7831819","title":"The design of a dual-structured measurement matrix in compressed sensing","display_name":"The design of a dual-structured measurement matrix in compressed sensing","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2583260319","doi":"https://doi.org/10.1109/icinfa.2016.7831819","mag":"2583260319"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2016.7831819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2016.7831819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5002211504","display_name":"Jianhua Qiao","orcid":"https://orcid.org/0000-0002-5372-1560"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Qiao","raw_affiliation_strings":["School of Information Engineering, Taiyuan University of Technology, School of Electronic and Information Engineering, Taiyuan University of Science and Technology, Taiyuan, Shanxi Province, 030024, China","School of Information Engineering, Taiyuan University of Science and Technology, Taiyuan, Shanxi Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Taiyuan University of Technology, School of Electronic and Information Engineering, Taiyuan University of Science and Technology, Taiyuan, Shanxi Province, 030024, China","institution_ids":["https://openalex.org/I46305995"]},{"raw_affiliation_string":"School of Information Engineering, Taiyuan University of Science and Technology, Taiyuan, Shanxi Province, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445969","display_name":"Xueying Zhang","orcid":"https://orcid.org/0000-0002-2035-0329"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]},{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueying Zhang","raw_affiliation_strings":["School of Information Engineering, Taiyuan University of Technology, Taiyuan, Shanxi Province, 030024, China","School of Information Engineering, Taiyuan University of Technology, Taiyuan, Shanxi Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Taiyuan University of Technology, Taiyuan, Shanxi Province, 030024, China","institution_ids":["https://openalex.org/I46305995","https://openalex.org/I9086337"]},{"raw_affiliation_string":"School of Information Engineering, Taiyuan University of Technology, Taiyuan, Shanxi Province, China","institution_ids":["https://openalex.org/I9086337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.27691072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"184","last_page":"188"},"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":0.9984999895095825,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9976999759674072,"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":0.7624865770339966},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.6750664710998535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.616858959197998},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.6132414937019348},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.608223021030426},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5968065857887268},{"id":"https://openalex.org/keywords/signal-recovery","display_name":"Signal recovery","score":0.5025045871734619},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4668577015399933},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.46465983986854553},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.45766595005989075},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.41440582275390625},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3448997139930725},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3273855745792389},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.22224602103233337},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.19852444529533386},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14934435486793518},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12901151180267334},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.1163356602191925},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10754123330116272},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09222564101219177},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08020487427711487}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7624865770339966},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.6750664710998535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.616858959197998},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.6132414937019348},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.608223021030426},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5968065857887268},{"id":"https://openalex.org/C2989281035","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Signal recovery","level":3,"score":0.5025045871734619},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4668577015399933},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.46465983986854553},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.45766595005989075},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.41440582275390625},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3448997139930725},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3273855745792389},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.22224602103233337},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.19852444529533386},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14934435486793518},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12901151180267334},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.1163356602191925},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10754123330116272},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09222564101219177},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08020487427711487},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icinfa.2016.7831819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2016.7831819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1530007699","https://openalex.org/W1872800431","https://openalex.org/W1977252496","https://openalex.org/W1986861159","https://openalex.org/W1996830635","https://openalex.org/W2015418199","https://openalex.org/W2041836310","https://openalex.org/W2104266187","https://openalex.org/W2119667497","https://openalex.org/W2121194215","https://openalex.org/W2127271355","https://openalex.org/W2129131372","https://openalex.org/W2129638195","https://openalex.org/W2144439237","https://openalex.org/W2145096794","https://openalex.org/W2159563318","https://openalex.org/W2233780076","https://openalex.org/W2296616510","https://openalex.org/W2963956021","https://openalex.org/W3000082297","https://openalex.org/W4250955649","https://openalex.org/W6679557231"],"related_works":["https://openalex.org/W2378166785","https://openalex.org/W2156466545","https://openalex.org/W2465351041","https://openalex.org/W2308961925","https://openalex.org/W4302459131","https://openalex.org/W2601968125","https://openalex.org/W2105702309","https://openalex.org/W2103221199","https://openalex.org/W2737338842","https://openalex.org/W2051659189"],"abstract_inverted_index":{"The":[0,50],"design":[1],"of":[2,7,11,33,47,69,73,81,108,130],"measurement":[3,23,36,45,64,76,102],"matrices":[4,37,46],"is":[5,84,123,132],"one":[6],"the":[8,12,31,34,43,54,63,70,74,88,101,106,109,117,127],"key":[9],"contents":[10],"compressed":[13],"sensing":[14],"(CS)":[15],"theory.":[16],"This":[17],"paper":[18],"constructs":[19],"a":[20,79],"new":[21],"dual-structured":[22],"matrix-unit":[24],"array":[25,99],"+":[26],"random":[27,35,75],"matrix,":[28,103],"by":[29,97],"combining":[30],"advantages":[32],"with":[38],"high":[39],"recovery":[40],"probability":[41],"and":[42,104,126],"structured":[44],"low":[48],"storage.":[49],"experiments":[51],"show":[52],"that":[53,116],"reconstruction":[55,128],"errors":[56,95],"can":[57,92],"be":[58],"gotten":[59],"lower":[60],"through":[61],"using":[62],"matrix":[65],"designed":[66],"than":[67],"those":[68],"simple":[71],"application":[72],"matrix.":[77],"Then":[78],"method":[80],"sub-frame":[82],"overlapping":[83],"proposed":[85],"for":[86],"reconstructing":[87],"entire":[89],"signal,":[90],"which":[91],"remove":[93],"large":[94],"caused":[96],"unit":[98],"in":[100],"ensure":[105],"stability":[107],"whole":[110],"signal":[111,118,131],"reconstruction.":[112],"Simulation":[113],"results":[114],"demonstrate":[115],"to":[119],"noise":[120],"ratio":[121],"(SNR)":[122],"increased":[124],"significantly":[125],"performance":[129],"improved":[133],"remarkably.":[134]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}