{"id":"https://openalex.org/W4385882131","doi":"https://doi.org/10.1109/bmsb58369.2023.10211155","title":"Modulated Recognition and Function Realization Based on Deep Learning","display_name":"Modulated Recognition and Function Realization Based on Deep Learning","publication_year":2023,"publication_date":"2023-06-14","ids":{"openalex":"https://openalex.org/W4385882131","doi":"https://doi.org/10.1109/bmsb58369.2023.10211155"},"language":"en","primary_location":{"id":"doi:10.1109/bmsb58369.2023.10211155","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bmsb58369.2023.10211155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5069842272","display_name":"Junbo Qiao","orcid":"https://orcid.org/0000-0003-3295-4303"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junbo Qiao","raw_affiliation_strings":["Harbin Institute of Technology,Communication Research Center,Harbin,China","Communication Research Center, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Communication Research Center,Harbin,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Communication Research Center, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026973164","display_name":"Shuai Han","orcid":"https://orcid.org/0000-0001-9606-3476"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Han","raw_affiliation_strings":["Harbin Institute of Technology,Communication Research Center,Harbin,China","Communication Research Center, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Communication Research Center,Harbin,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Communication Research Center, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019808961","display_name":"Zeyang Sun","orcid":"https://orcid.org/0000-0002-0318-2829"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyang Sun","raw_affiliation_strings":["Harbin Institute of Technology,Communication Research Center,Harbin,China","Communication Research Center, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Communication Research Center,Harbin,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Communication Research Center, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09974818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.787133514881134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7404229640960693},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6969605088233948},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6904773712158203},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6830047965049744},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5656783580780029},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47857168316841125},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45254987478256226},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.41877442598342896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.787133514881134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7404229640960693},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6969605088233948},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6904773712158203},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6830047965049744},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5656783580780029},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47857168316841125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45254987478256226},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.41877442598342896},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmsb58369.2023.10211155","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bmsb58369.2023.10211155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1600744878","https://openalex.org/W1910328936","https://openalex.org/W2170778725","https://openalex.org/W2272847350","https://openalex.org/W2521213455","https://openalex.org/W2770032684","https://openalex.org/W2773170971","https://openalex.org/W2909712920","https://openalex.org/W2997478047","https://openalex.org/W3203455242","https://openalex.org/W4200274058","https://openalex.org/W4210453539","https://openalex.org/W6805255353"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2770593030","https://openalex.org/W2611989081","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W4312219546","https://openalex.org/W4230611425","https://openalex.org/W1996690921"],"abstract_inverted_index":{"With":[0,87],"the":[1,5,13,23,27,30,34,37,68,88,119,122,126,132,141,154,175,199,216,236,241],"development":[2,91,165],"of":[3,15,26,29,82,92,113,121,137,145,169,209],"technology,":[4],"communication":[6],"is":[7,19],"more":[8,20,95,97,167,210],"busy":[9],"and":[10,12,63,78,85,90,96,115,140,143,166,184,192,213,229,231,234],"complex,":[11],"types":[14],"interference":[16],"increase,":[17],"which":[18],"important":[21],"for":[22,134,227],"correct":[24,111],"identification":[25,228,238],"signals":[28],"two":[31,54],"parties":[32],"in":[33,80,159],"communication,":[35],"so":[36],"automatic":[38,47,70,98,176],"modulation":[39,48,71,99,116,177,237],"recognition":[40,49,72,100,114,178,206],"technology":[41,73],"(AMR)":[42],"has":[43,75,117,215],"been":[44,149],"developed.":[45],"Traditional":[46],"techniques":[50],"are":[51],"divided":[52],"into":[53],"types:":[55],"likelihood":[56,127],"estimation":[57,128],"(LB)":[58],"based":[59,180],"on":[60,181],"hypothesis":[61],"testing":[62],"feature":[64,160],"extraction":[65],"(FB).":[66],"However,":[67],"traditional":[69],"still":[74],"many":[76],"challenges":[77],"deficiencies":[79],"terms":[81],"computational":[83],"complexity":[84],"accuracy.":[86],"emergence":[89],"deep":[93,104,182,201],"learning,":[94,183],"technologies":[101],"have":[102,148,204],"adopted":[103],"learning":[105,156],"methods":[106],"to":[107,130],"improve":[108],"efficiency.":[109],"The":[110,194],"rate":[112,208],"enhanced":[118],"robustness":[120],"system,":[123],"compared":[124,152],"with":[125,153],"method":[129,179],"reduce":[131],"need":[133],"a":[135,205],"lot":[136],"prior":[138],"information,":[139],"efficiency":[142],"performance":[144],"decision-making":[146],"classification":[147,157],"greatly":[150],"improved":[151],"machine":[155],"used":[158],"extraction.":[161],"It":[162],"brings":[163],"rapid":[164],"applications":[168],"AMR.":[170],"This":[171],"paper":[172,222],"mainly":[173],"studies":[174],"proposes":[185],"three":[186,200],"network":[187],"models":[188],"using":[189],"CNN,":[190],"LSTM":[191,214],"CLDNN.":[193],"simulation":[195],"results":[196],"show":[197],"that":[198],"neural":[202],"networks":[203],"accuracy":[207],"than":[211],"90%,":[212],"best":[217],"performance.":[218],"In":[219],"addition,":[220],"this":[221],"uses":[223],"real":[224],"signal":[225],"data":[226],"detection,":[230],"successfully":[232],"implements":[233],"deploys":[235],"function":[239],"through":[240],"hardware":[242],"platform.":[243]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
