{"id":"https://openalex.org/W3013314324","doi":"https://doi.org/10.1186/s13634-020-0661-1","title":"A cooperative construction method for the measurement matrix and sensing dictionary used in compression sensing","display_name":"A cooperative construction method for the measurement matrix and sensing dictionary used in compression sensing","publication_year":2020,"publication_date":"2020-03-04","ids":{"openalex":"https://openalex.org/W3013314324","doi":"https://doi.org/10.1186/s13634-020-0661-1","mag":"3013314324"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-020-0661-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-020-0661-1","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-020-0661-1","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-020-0661-1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031980462","display_name":"Zhiyuan Shen","orcid":"https://orcid.org/0000-0001-6103-750X"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhi Yuan Shen","raw_affiliation_strings":["College of Civil Aviation, NanJing University of Aeronautics and Astronautics, NanJing, 210000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Civil Aviation, NanJing University of Aeronautics and Astronautics, NanJing, 210000, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080377119","display_name":"Xin Miao Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Miao Cheng","raw_affiliation_strings":["College of Civil Aviation, NanJing University of Aeronautics and Astronautics, NanJing, 210000, China"],"raw_orcid":"https://orcid.org/0000-0003-4261-0475","affiliations":[{"raw_affiliation_string":"College of Civil Aviation, NanJing University of Aeronautics and Astronautics, NanJing, 210000, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038243976","display_name":"Qianqian Wang","orcid":"https://orcid.org/0000-0003-2574-0120"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Qian Wang","raw_affiliation_strings":["College of Civil Aviation, NanJing University of Aeronautics and Astronautics, NanJing, 210000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Civil Aviation, NanJing University of Aeronautics and Astronautics, NanJing, 210000, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031980462"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":1.4378,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78021478,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"2020","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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9991000294685364,"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/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9973000288009644,"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/mutual-coherence","display_name":"Mutual coherence","score":0.9433140158653259},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7751390933990479},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7583884596824646},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.6473424434661865},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.612646222114563},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.575652539730072},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4811881184577942},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48019683361053467},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.46478888392448425},{"id":"https://openalex.org/keywords/signal-compression","display_name":"Signal compression","score":0.46137532591819763},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4176764488220215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3925057649612427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36700284481048584},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.186369389295578},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15858164429664612},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.13814854621887207},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10179266333580017},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.07816338539123535}],"concepts":[{"id":"https://openalex.org/C45900066","wikidata":"https://www.wikidata.org/wiki/Q6944191","display_name":"Mutual coherence","level":3,"score":0.9433140158653259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7751390933990479},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7583884596824646},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.6473424434661865},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.612646222114563},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.575652539730072},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4811881184577942},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48019683361053467},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.46478888392448425},{"id":"https://openalex.org/C2778192920","wikidata":"https://www.wikidata.org/wiki/Q16874989","display_name":"Signal compression","level":4,"score":0.46137532591819763},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4176764488220215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3925057649612427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36700284481048584},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.186369389295578},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15858164429664612},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.13814854621887207},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10179266333580017},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.07816338539123535},{"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/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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13634-020-0661-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-020-0661-1","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-020-0661-1","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e6f76fe8b0424377ba6745049db7fbf0","is_oa":true,"landing_page_url":"https://doaj.org/article/e6f76fe8b0424377ba6745049db7fbf0","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":"EURASIP Journal on Advances in Signal Processing, Vol 2020, Iss 1, Pp 1-8 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-020-0661-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-020-0661-1","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-020-0661-1","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1295732797","display_name":null,"funder_award_id":"2017T100366","funder_id":"https://openalex.org/F4320335473","funder_display_name":"Postdoctoral Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G825625157","display_name":null,"funder_award_id":"2017T100366","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335473","display_name":"Postdoctoral Science Foundation of Jiangsu Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3013314324.pdf","grobid_xml":"https://content.openalex.org/works/W3013314324.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1960067621","https://openalex.org/W1982334922","https://openalex.org/W1985324531","https://openalex.org/W2015418199","https://openalex.org/W2027740031","https://openalex.org/W2030449718","https://openalex.org/W2060573947","https://openalex.org/W2074863717","https://openalex.org/W2110673833","https://openalex.org/W2116148865","https://openalex.org/W2119035041","https://openalex.org/W2127271355","https://openalex.org/W2130345277","https://openalex.org/W2132702454","https://openalex.org/W2134033146","https://openalex.org/W2140466267","https://openalex.org/W2156043924","https://openalex.org/W2162409952","https://openalex.org/W2164595191","https://openalex.org/W2169607109","https://openalex.org/W2781614435","https://openalex.org/W2901804636","https://openalex.org/W2907984103","https://openalex.org/W2909495980","https://openalex.org/W2913914470","https://openalex.org/W2921570539","https://openalex.org/W2935926757","https://openalex.org/W4238744307","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2117029045","https://openalex.org/W2013554099","https://openalex.org/W2904632759","https://openalex.org/W2902209636","https://openalex.org/W2938353867","https://openalex.org/W2964084357","https://openalex.org/W2141410487","https://openalex.org/W4310679452","https://openalex.org/W3135825101","https://openalex.org/W3005946484"],"abstract_inverted_index":{"Abstract":[0],"A":[1,127],"measurement":[2,34,67,110,133,143],"matrix":[3,35,68,111,134,144],"and":[4,15,36,69,109,135,145,166,178],"sensing":[5,37,70,107,125,136,146],"dictionary":[6,38,71,108,137,147],"are":[7,19],"the":[8,23,33,60,64,77,82,91,102,106,114,124,142,154,171,183],"basic":[9],"tools":[10],"for":[11,123,130,163],"signal":[12,84,94,165],"compression":[13,26],"sampling":[14],"reconstruction,":[16],"respectively,":[17],"which":[18,30,55,88],"important":[20],"aspects":[21],"in":[22],"field":[24],"of":[25,48,54,63,66,79,93],"sensing.":[27],"Previous":[28],"studies":[29],"have":[31],"divided":[32],"into":[39],"two":[40],"separate":[41],"processes":[42],"did":[43],"not":[44],"make":[45],"full":[46],"use":[47],"their":[49],"inherent":[50],"intercorrelations.":[51],"In":[52],"case":[53],"could":[56,89],"be":[57,73],"fully":[58],"utilized,":[59],"mutual":[61,103,116],"coherence":[62,104,117],"atoms":[65],"can":[72],"further":[74],"reduced":[75],"under":[76],"premise":[78],"ensuring":[80],"that":[81,170],"original":[83],"information":[85],"is":[86,138,150],"stored,":[87],"improve":[90],"accuracy":[92],"recovery.":[95],"The":[96,160],"present":[97],"study":[98],"attempted":[99],"to":[100,152],"reduce":[101],"between":[105],"by":[112],"proposing":[113],"t-average":[115],"coefficient":[118],"as":[119],"an":[120],"evaluation":[121],"index":[122],"dictionary.":[126],"mathematical":[128],"model":[129,155],"co-constructing":[131],"a":[132,157],"firstly":[139],"proposed.":[140],"Then,":[141],"cooperative":[148],"construction(MSCA)algorithm":[149],"proposed":[151,172],"solve":[153],"at":[156],"faster":[158,175],"rate.":[159],"simulated":[161],"results":[162],"sparse":[164],"binary":[167],"image":[168],"show":[169],"algorithm":[173],"has":[174],"computing":[176],"speed":[177],"higher":[179],"solution":[180],"precision":[181],"than":[182],"state-of-the-art":[184],"construction":[185],"algorithms.":[186]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}