{"id":"https://openalex.org/W3010212758","doi":"https://doi.org/10.1109/tnnls.2020.2975302","title":"Iterative Weighted Group Thresholding Method for Group Sparse Recovery","display_name":"Iterative Weighted Group Thresholding Method for Group Sparse Recovery","publication_year":2020,"publication_date":"2020-03-05","ids":{"openalex":"https://openalex.org/W3010212758","doi":"https://doi.org/10.1109/tnnls.2020.2975302","mag":"3010212758","pmid":"https://pubmed.ncbi.nlm.nih.gov/32149658"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.2975302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.2975302","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5069802360","display_name":"Jiang Lan-fan","orcid":"https://orcid.org/0000-0002-5539-2633"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lanfan Jiang","raw_affiliation_strings":["College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5539-2633","affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100413098","display_name":"Wenxing Zhu","orcid":"https://orcid.org/0000-0002-8698-0024"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxing Zhu","raw_affiliation_strings":["College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8698-0024","affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069802360"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":0.8992,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.6854979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"32","issue":"1","first_page":"63","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9973999857902527,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9934999942779541,"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/underdetermined-system","display_name":"Underdetermined system","score":0.8824722170829773},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.5061351656913757},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5032040476799011},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47789037227630615},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.472626656293869},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4568624496459961},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.45139405131340027},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4453076124191284},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40267860889434814},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34430888295173645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19528204202651978}],"concepts":[{"id":"https://openalex.org/C179690561","wikidata":"https://www.wikidata.org/wiki/Q4316110","display_name":"Underdetermined system","level":2,"score":0.8824722170829773},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.5061351656913757},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5032040476799011},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47789037227630615},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.472626656293869},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4568624496459961},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.45139405131340027},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4453076124191284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40267860889434814},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34430888295173645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19528204202651978},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2020.2975302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.2975302","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:32149658","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32149658","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4451028710","display_name":null,"funder_award_id":"61672005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1546266651","https://openalex.org/W1931583310","https://openalex.org/W1965125844","https://openalex.org/W1995513458","https://openalex.org/W1996515169","https://openalex.org/W1999174140","https://openalex.org/W2004544971","https://openalex.org/W2005732955","https://openalex.org/W2013916391","https://openalex.org/W2025666718","https://openalex.org/W2043430160","https://openalex.org/W2049209908","https://openalex.org/W2056201402","https://openalex.org/W2063761188","https://openalex.org/W2069959554","https://openalex.org/W2074682976","https://openalex.org/W2075506710","https://openalex.org/W2076605490","https://openalex.org/W2082562176","https://openalex.org/W2093049247","https://openalex.org/W2109449402","https://openalex.org/W2111414067","https://openalex.org/W2119862467","https://openalex.org/W2126607811","https://openalex.org/W2129131372","https://openalex.org/W2130187411","https://openalex.org/W2133665775","https://openalex.org/W2135780853","https://openalex.org/W2138019504","https://openalex.org/W2140619591","https://openalex.org/W2145096794","https://openalex.org/W2147298660","https://openalex.org/W2148527554","https://openalex.org/W2158940042","https://openalex.org/W2161227280","https://openalex.org/W2162162988","https://openalex.org/W2167644773","https://openalex.org/W2271232908","https://openalex.org/W2295845114","https://openalex.org/W2466299320","https://openalex.org/W2503812215","https://openalex.org/W2789593553","https://openalex.org/W2952799384","https://openalex.org/W2963382930","https://openalex.org/W3098306969","https://openalex.org/W3099014882","https://openalex.org/W3124158594","https://openalex.org/W4214806317","https://openalex.org/W6640402886","https://openalex.org/W6681807782","https://openalex.org/W6764364992"],"related_works":["https://openalex.org/W133751542","https://openalex.org/W2066796569","https://openalex.org/W2997320962","https://openalex.org/W4287906532","https://openalex.org/W3011121006","https://openalex.org/W176802781","https://openalex.org/W2084978503","https://openalex.org/W2665564927","https://openalex.org/W4298838545","https://openalex.org/W2045248108"],"abstract_inverted_index":{"This":[0],"article":[1],"proposes":[2],"a":[3,47,104],"novel":[4],"iterative":[5],"weighted":[6,24],"group":[7,11,25,111,135],"thresholding":[8],"method":[9,75],"for":[10,46],"sparse":[12],"recovery":[13],"of":[14,55,76,133],"signals":[15],"from":[16],"underdetermined":[17],"linear":[18],"systems.":[19],"Based":[20],"on":[21,98,116],"an":[22,108],"equivalent":[23],"minimization":[26],"problem":[27],"with":[28,49,107,128],"\u2113":[29],"<sup":[30],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[31,34],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">p</sup>":[32],"<sub":[33],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">p</sub>":[35],"-norm":[36],"(0":[37],"<;":[38],"p":[39,56],"\u2264":[40],"1),":[41],"we":[42,64,102],"derive":[43],"closed-form":[44],"solutions":[45],"subproblem":[48],"respect":[50],"to":[51],"some":[52,93],"specific":[53],"values":[54],"when":[57],"using":[58],"the":[59,66,74,83,88,99,117],"proximal":[60],"gradient":[61],"method.":[62],"Then,":[63],"design":[65],"corresponding":[67],"algorithmic":[68],"framework,":[69],"including":[70],"stopping":[71],"criterion":[72],"and":[73,80,119,139],"nonmonotone":[77],"line":[78],"search,":[79],"prove":[81],"that":[82,123],"solution":[84],"sequence":[85],"generated":[86],"by":[87],"proposed":[89,100],"algorithm":[90,106],"converges":[91],"under":[92],"mild":[94],"conditions.":[95],"Moreover,":[96],"based":[97],"algorithm,":[101],"develop":[103],"homotopy":[105],"adaptively":[109],"updated":[110],"threshold.":[112],"Extensive":[113],"computational":[114],"experiments":[115],"simulated":[118],"real":[120],"data":[121],"show":[122],"our":[124],"approach":[125],"is":[126],"competitive":[127],"state-of-the-art":[129],"methods":[130],"in":[131],"terms":[132],"exact":[134],"selection,":[136],"estimation":[137],"accuracy,":[138],"computation":[140],"time.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-16T08:24:45.110214","created_date":"2025-10-10T00:00:00"}
