{"id":"https://openalex.org/W4409536890","doi":"https://doi.org/10.1109/lwc.2025.3561938","title":"Explainable Wideband Spectrum Signal Reconstruction Based on Primal-Dual Hybrid Gradient Network","display_name":"Explainable Wideband Spectrum Signal Reconstruction Based on Primal-Dual Hybrid Gradient Network","publication_year":2025,"publication_date":"2025-04-17","ids":{"openalex":"https://openalex.org/W4409536890","doi":"https://doi.org/10.1109/lwc.2025.3561938"},"language":"en","primary_location":{"id":"doi:10.1109/lwc.2025.3561938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2025.3561938","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"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 Wireless Communications Letters","raw_type":"journal-article"},"type":"article","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/A5023577409","display_name":"Zhang Guoliang","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoliang Zhang","raw_affiliation_strings":["63rd Research Institute, National University of Defense Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"63rd Research Institute, National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059879436","display_name":"Xianglin Wei","orcid":"https://orcid.org/0000-0002-6181-4441"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianglin Wei","raw_affiliation_strings":["63rd Research Institute, National University of Defense Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"63rd Research Institute, National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022357849","display_name":"Kuang Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuang Zhao","raw_affiliation_strings":["63rd Research Institute, National University of Defense Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"63rd Research Institute, National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101756563","display_name":"Jiying Liu","orcid":"https://orcid.org/0000-0003-0337-588X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiying Liu","raw_affiliation_strings":["College of Science, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100688759","display_name":"Jianhua Fan","orcid":"https://orcid.org/0009-0000-3002-5995"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Fan","raw_affiliation_strings":["63rd Research Institute, National University of Defense Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"63rd Research Institute, National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5023577409"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06305745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":"7","first_page":"2039","last_page":"2043"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9496999979019165,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9496999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.7307098507881165},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6093736290931702},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5835943818092346},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.4871692359447479},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.4449745714664459},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4161122739315033},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.32297855615615845},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.26381194591522217},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16392064094543457},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08506324887275696}],"concepts":[{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.7307098507881165},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6093736290931702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5835943818092346},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.4871692359447479},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.4449745714664459},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4161122739315033},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.32297855615615845},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.26381194591522217},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16392064094543457},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08506324887275696},{"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lwc.2025.3561938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2025.3561938","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"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 Wireless Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2114423093","https://openalex.org/W2261346534","https://openalex.org/W2504922406","https://openalex.org/W2759123086","https://openalex.org/W3035949364","https://openalex.org/W3045581994","https://openalex.org/W3088025366","https://openalex.org/W3128379922","https://openalex.org/W3133902371","https://openalex.org/W3192979321","https://openalex.org/W3207478510","https://openalex.org/W4285816802","https://openalex.org/W4319663645","https://openalex.org/W4382203319","https://openalex.org/W4388819624","https://openalex.org/W4401016494"],"related_works":["https://openalex.org/W3112081258","https://openalex.org/W1480343695","https://openalex.org/W2315892906","https://openalex.org/W4384026382","https://openalex.org/W98805669","https://openalex.org/W2392214114","https://openalex.org/W2792514479","https://openalex.org/W1978532702","https://openalex.org/W1973326588","https://openalex.org/W4200358983"],"abstract_inverted_index":{"In":[0],"wireless":[1],"communication":[2],"scenarios,":[3],"compressed":[4,32],"sensing":[5],"emerges":[6],"as":[7,118,128],"an":[8,136],"efficient":[9],"technique":[10,110],"for":[11,21],"wideband":[12,95],"spectrum":[13,23,33,96],"sensing,":[14],"which":[15],"is":[16],"a":[17,26,94],"key":[18],"building":[19],"block":[20],"detecting":[22],"holes":[24],"with":[25,108,159],"sub-Nyquist":[27],"sampling":[28],"rate.":[29],"However,":[30],"traditional":[31],"reconstruction":[34,38,66,74,98,121,152],"methods":[35,67],"exhibit":[36],"poor":[37,85],"performance":[39],"and":[40,49,71,114,130],"high":[41],"complexity,":[42],"due":[43],"to":[44,116],"the":[45,57,77],"manual":[46],"parameter":[47],"optimization":[48],"hundreds":[50],"or":[51],"thousands":[52],"of":[53,61,80],"iterations.":[54],"Spurred":[55],"by":[56,101,139,154],"excellent":[58],"learning":[59,63],"capability":[60],"deep":[62,112,120],"(DL),":[64],"DL-based":[65],"have":[68],"been":[69],"proposed":[70],"achieved":[72],"better":[73],"performance.":[75],"But":[76],"black-box":[78],"nature":[79],"DL":[81,109,140],"models":[82],"results":[83],"in":[84,125,135],"interpretability.":[86],"To":[87],"solve":[88],"these":[89],"problems,":[90],"this":[91],"letter":[92],"proposes":[93],"signal":[97],"(WSSR)":[99],"algorithm":[100,107],"combining":[102],"primal-dual":[103],"hybrid":[104],"gradient":[105],"(PDHG)":[106],"through":[111],"unfolding,":[113],"refers":[115],"it":[117],"PDHG":[119],"network":[122],"(PDHG-Net).":[123],"Parameters":[124],"PDHG-Net,":[126],"such":[127],"regularization":[129],"step":[131],"size,":[132],"are":[133],"learned":[134],"end-to-end":[137],"manner":[138],"rather":[141],"than":[142],"being":[143],"adjusted":[144],"manually.":[145],"Results":[146],"show":[147],"that":[148],"PDHG-Net":[149],"can":[150],"reduce":[151],"error":[153],"16.25%":[155],"on":[156],"average":[157],"compared":[158],"four":[160],"state-of-the-art":[161],"WSSR":[162],"methods.":[163]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
