{"id":"https://openalex.org/W4393170603","doi":"https://doi.org/10.1109/tvt.2024.3381082","title":"A Few-Shot Modulation Recognition Method Based on Multi-Modal Feature Fusion","display_name":"A Few-Shot Modulation Recognition Method Based on Multi-Modal Feature Fusion","publication_year":2024,"publication_date":"2024-03-25","ids":{"openalex":"https://openalex.org/W4393170603","doi":"https://doi.org/10.1109/tvt.2024.3381082"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2024.3381082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3381082","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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":null,"display_name":"Yanping Zha","orcid":"https://orcid.org/0000-0001-8295-0103"},"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":"Yanping Zha","raw_affiliation_strings":["College of Electronic Engineering, National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-8295-0103","affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100357107","display_name":"Hongjun Wang","orcid":"https://orcid.org/0000-0001-6736-6566"},"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":"Hongjun Wang","raw_affiliation_strings":["College of Electronic Engineering, National University of Defense Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049573949","display_name":"Zhexian Shen","orcid":"https://orcid.org/0000-0003-4372-6971"},"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":"Zhexian Shen","raw_affiliation_strings":["College of Electronic Engineering, National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-4372-6971","affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029002143","display_name":"Jiangzhou Wang","orcid":"https://orcid.org/0000-0003-0881-3594"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jiangzhou Wang","raw_affiliation_strings":["School of Engineering, University of Kent, Canterbury, U.K"],"raw_orcid":"https://orcid.org/0000-0003-0881-3594","affiliations":[{"raw_affiliation_string":"School of Engineering, University of Kent, Canterbury, U.K","institution_ids":["https://openalex.org/I20581793"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1233,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.95811393,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"73","issue":"7","first_page":"10823","last_page":"10828"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9761999845504761,"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"}},{"id":"https://openalex.org/T14158","display_name":"Optical Systems and Laser Technology","score":0.9667999744415283,"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/modal","display_name":"Modal","score":0.5757347941398621},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5688647031784058},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5385332107543945},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.5384485721588135},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.513542652130127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5060095191001892},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49665528535842896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.492752343416214},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4308515787124634},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.42920345067977905},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4113498628139496},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3814191222190857},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2788864076137543},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19453004002571106},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.16318142414093018},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.16071277856826782}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5757347941398621},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5688647031784058},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5385332107543945},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.5384485721588135},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.513542652130127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5060095191001892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49665528535842896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.492752343416214},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4308515787124634},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.42920345067977905},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4113498628139496},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3814191222190857},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2788864076137543},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19453004002571106},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.16318142414093018},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.16071277856826782},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2024.3381082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3381082","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3348246166","display_name":"\u57fa\u4e8e\u591a\u91cd\u673a\u5668\u5b66\u4e60\u7684\u65e0\u7ebf\u901a\u4fe1\u7f51\u4fe1\u53f7\u6001\u52bf\u5168\u8986\u76d6\u611f\u77e5\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61971473","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6627879268","display_name":null,"funder_award_id":"62372456","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7701723719","display_name":"\u6df7\u5408\u6a21\u62df\u6570\u5b57\u7ed3\u6784\u7a7a\u95f4\u8c03\u5236\u65e0\u7ebf\u7f51\u7edc\u5b89\u5168\u4f20\u8f93\u7406\u8bba\u4e0e\u6280\u672f\u7814\u7a76","funder_award_id":"62071234","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1493090558","https://openalex.org/W2741230443","https://openalex.org/W2756575923","https://openalex.org/W2773170971","https://openalex.org/W2982083293","https://openalex.org/W3085631338","https://openalex.org/W3095073866","https://openalex.org/W3101503122","https://openalex.org/W3104028856","https://openalex.org/W3160024890","https://openalex.org/W4200531260","https://openalex.org/W4205182328","https://openalex.org/W4213235632","https://openalex.org/W4226011009","https://openalex.org/W4289656492","https://openalex.org/W4312450940","https://openalex.org/W4312730379","https://openalex.org/W4318831920","https://openalex.org/W4320168172","https://openalex.org/W4365801635","https://openalex.org/W6629176323","https://openalex.org/W6717697761"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2031175860","https://openalex.org/W2152662039","https://openalex.org/W2145797872"],"abstract_inverted_index":{"Few-Shot":[0],"learning":[1,7],"(FSL)":[2],"is":[3,67,99],"a":[4,40,53,59,94,150],"new":[5,46,60,145],"deep":[6],"method,":[8],"which":[9,85],"has":[10,18],"been":[11,20],"successfully":[12],"applied":[13],"in":[14,23,69],"many":[15],"fields,":[16],"but":[17],"not":[19],"well":[21],"explored":[22],"the":[24,31,73,89,108,115,125,130,135,141],"field":[25],"of":[26,34,43,45,48,114,144,152],"communication.":[27],"To":[28],"adapt":[29],"to":[30,101,117,156],"application":[32],"scenario":[33],"signal":[35,146],"modulation":[36,112,142],"recognition":[37],"when":[38],"only":[39],"small":[41],"number":[42],"samples":[44,154],"types":[47],"signals":[49,76],"can":[50,120,138],"be":[51,118,121],"collected,":[52],"novel":[54],"FSL":[55],"algorithm":[56,137],"based":[57],"on":[58],"multi-channel":[61,95],"feature":[62,96],"fusion":[63],"network":[64,98],"named":[65],"FFFNet":[66],"proposed":[68,136],"this":[70],"paper.":[71],"Specifically,":[72],"time":[74],"sequence":[75],"firstly":[77],"are":[78,86],"preprocessed":[79],"into":[80],"time-frequency":[81],"and":[82,106,160],"constellation":[83],"diagrams":[84],"enhanced":[87],"by":[88,104,123],"reciprocal":[90],"attenuation":[91],"model.":[92],"Then,":[93],"extraction":[97],"designed":[100],"generate":[102],"prototypes":[103],"extracting":[105],"integrating":[107],"multi-modal":[109],"features.":[110],"The":[111],"type":[113,143],"sample":[116],"tested":[119],"obtained":[122],"measuring":[124],"distance":[126],"between":[127],"it":[128],"with":[129,149],"prototypes.":[131],"Simulation":[132],"results":[133],"prove":[134],"effectively":[139],"identify":[140],"categories":[147],"just":[148],"demand":[151],"few":[153],"due":[155],"its":[157],"strong":[158],"generalization":[159],"robustness":[161],"ability.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}