{"id":"https://openalex.org/W2982388962","doi":"https://doi.org/10.1109/access.2019.2950003","title":"Sparse Signal Reconstruction With Statistical Prior Information: A Data-Driven Method","display_name":"Sparse Signal Reconstruction With Statistical Prior Information: A Data-Driven Method","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2982388962","doi":"https://doi.org/10.1109/access.2019.2950003","mag":"2982388962"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2950003","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2950003","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08886602.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08886602.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064839561","display_name":"Zhi Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Liao","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433227","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0002-9647-0941"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9647-0941","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002773690","display_name":"Dandan Hu","orcid":"https://orcid.org/0000-0001-7905-8536"},"institutions":[{"id":"https://openalex.org/I92039509","display_name":"Guangzhou Medical University","ror":"https://ror.org/00zat6v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I92039509"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Hu","raw_affiliation_strings":["Guangzhou Women and Children\u2019s Medical Center, Guangzhou Medical University, Guangzhou, China","Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Women and Children\u2019s Medical Center, Guangzhou Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I92039509"]},{"raw_affiliation_string":"Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I92039509"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354297","display_name":"Cheng Li","orcid":"https://orcid.org/0000-0003-3424-2414"},"institutions":[{"id":"https://openalex.org/I4210089318","display_name":"Guangdong Work Injury Rehabilitation Hospital","ror":"https://ror.org/006qwan38","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210089318"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Li","raw_affiliation_strings":["Guangdong Traditional Medical and Sports Injury Rehabilitation Research Institute, Guangdong Second Provincial General Hospital, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Traditional Medical and Sports Injury Rehabilitation Research Institute, Guangdong Second Provincial General Hospital, Guangzhou, China","institution_ids":["https://openalex.org/I4210089318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100664608","display_name":"Lin Zhu","orcid":"https://orcid.org/0000-0001-9872-459X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhu","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100672536","display_name":"Yuanqing Li","orcid":"https://orcid.org/0000-0003-4288-5591"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanqing Li","raw_affiliation_strings":["College of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1728,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.46900216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"7","issue":null,"first_page":"157037","last_page":"157045"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9987000226974487,"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/prior-probability","display_name":"Prior probability","score":0.8074724674224854},{"id":"https://openalex.org/keywords/underdetermined-system","display_name":"Underdetermined system","score":0.7356273531913757},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7316064834594727},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6291929483413696},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5840944051742554},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5008046627044678},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4968283474445343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47258174419403076},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4623369574546814},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4407757818698883},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4256203770637512},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42295753955841064},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3509104251861572},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1122579574584961}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.8074724674224854},{"id":"https://openalex.org/C179690561","wikidata":"https://www.wikidata.org/wiki/Q4316110","display_name":"Underdetermined system","level":2,"score":0.7356273531913757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7316064834594727},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6291929483413696},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5840944051742554},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5008046627044678},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4968283474445343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47258174419403076},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4623369574546814},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4407757818698883},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4256203770637512},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42295753955841064},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3509104251861572},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1122579574584961},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2950003","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2950003","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08886602.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:58e558f410e244b684fff21cf27b28c8","is_oa":true,"landing_page_url":"https://doaj.org/article/58e558f410e244b684fff21cf27b28c8","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":"IEEE Access, Vol 7, Pp 157037-157045 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2950003","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2950003","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08886602.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2166782709","display_name":null,"funder_award_id":"2018A030313756","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3346253610","display_name":null,"funder_award_id":"61973088","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8443189233","display_name":null,"funder_award_id":"2019A1515011371","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G869172522","display_name":null,"funder_award_id":"81\u00a0801\u00a0206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320312687","display_name":"Children\u2019s Hospital of Wisconsin Research Institute","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2982388962.pdf","grobid_xml":"https://content.openalex.org/works/W2982388962.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W1978749115","https://openalex.org/W1995513458","https://openalex.org/W2060346677","https://openalex.org/W2061185532","https://openalex.org/W2075506710","https://openalex.org/W2078204800","https://openalex.org/W2100526560","https://openalex.org/W2107861471","https://openalex.org/W2114202040","https://openalex.org/W2116064496","https://openalex.org/W2127271355","https://openalex.org/W2129131372","https://openalex.org/W2137416115","https://openalex.org/W2138309709","https://openalex.org/W2145096794","https://openalex.org/W2154483232","https://openalex.org/W2202505358","https://openalex.org/W2219727625","https://openalex.org/W2247338144","https://openalex.org/W2296616510","https://openalex.org/W2509600863","https://openalex.org/W2609901723","https://openalex.org/W2619210453","https://openalex.org/W2762625016","https://openalex.org/W2766736793","https://openalex.org/W2806956350","https://openalex.org/W2903474136","https://openalex.org/W2913407974","https://openalex.org/W2963288922","https://openalex.org/W3102722370","https://openalex.org/W4250955649","https://openalex.org/W6687515990"],"related_works":["https://openalex.org/W2549922247","https://openalex.org/W2300663769","https://openalex.org/W1523391825","https://openalex.org/W2152231009","https://openalex.org/W2665564927","https://openalex.org/W2735239078","https://openalex.org/W2152589265","https://openalex.org/W2963414100","https://openalex.org/W2372875289","https://openalex.org/W4387234763"],"abstract_inverted_index":{"Weighted":[0],"\u21131minimization":[1],"(WL1M)":[2],"is":[3],"a":[4,63],"general":[5],"and":[6,100],"powerful":[7],"framework":[8,127],"for":[9,103],"reconstructing":[10],"sparse":[11],"signals":[12,30,54,88,109],"from":[13,89],"underdetermined":[14],"measurements.":[15],"The":[16],"performance":[17,130],"improvement":[18],"of":[19,25,29,33,39,53,86,105],"WL1M":[20],"owes":[21],"to":[22,57,68,81,117],"the":[23,37,73,83,87,94,106,120,125,137],"incorporation":[24],"additional":[26],"structural":[27,51],"priors":[28,52],"by":[31],"means":[32],"its":[34],"weights.":[35,121],"However,":[36],"selection":[38],"weights":[40],"relies":[41],"on":[42,136],"hand-crafted":[43],"designs":[44],"in":[45,108],"existing":[46],"works,":[47],"so":[48],"that":[49],"high-order":[50],"are":[55,79,115],"hard":[56],"be":[58,111],"captured.":[59],"This":[60],"paper":[61],"proposes":[62],"data-driven":[64],"method,":[65],"namely":[66],"RBM-WL1M,":[67,74],"alleviate":[69],"this":[70],"situation.":[71],"In":[72,122],"restricted":[75],"Boltzmann":[76],"machines":[77],"(RBMs)":[78],"employed":[80],"learn":[82],"prior":[84],"distribution":[85],"training":[90],"data;":[91],"furthermore,":[92],"utilizing":[93],"RBM,":[95],"high":[96],"frequency":[97],"support":[98],"set":[99],"non-zero":[101],"probabilities":[102],"each":[104],"entries":[107],"can":[110],"estimated":[112],"effectively,":[113],"which":[114],"used":[116],"appropriately":[118],"select":[119],"our":[123],"experiments,":[124],"proposed":[126],"demonstrates":[128],"superior":[129],"over":[131],"several":[132],"state-of-the-art":[133],"CS":[134],"methods":[135],"Physikalisch-Technische":[138],"Bundesanstalt(PTB)":[139],"Diagnostic":[140],"ECG":[141],"Data":[142],"set.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}