{"id":"https://openalex.org/W4400230063","doi":"https://doi.org/10.1109/iscas58744.2024.10558051","title":"Fast and Lightweight Automatic Modulation Recognition using Spiking Neural Network","display_name":"Fast and Lightweight Automatic Modulation Recognition using Spiking Neural Network","publication_year":2024,"publication_date":"2024-05-19","ids":{"openalex":"https://openalex.org/W4400230063","doi":"https://doi.org/10.1109/iscas58744.2024.10558051"},"language":"en","primary_location":{"id":"doi:10.1109/iscas58744.2024.10558051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas58744.2024.10558051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-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/A5080142286","display_name":"Canghai Lin","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":"Canghai Lin","raw_affiliation_strings":["National University of Defense Technology,College of Computer Science and Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099841484","display_name":"ZhiJiao Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"ZhiJiao Zhang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100309487","display_name":"Lei Wang","orcid":"https://orcid.org/0009-0001-2200-4796"},"institutions":[{"id":"https://openalex.org/I2802541053","display_name":"Academy of Military Medical Sciences","ror":"https://ror.org/02bv3c993","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2802541053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Academy of Military Sciences,Defense Innovation Institute,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Academy of Military Sciences,Defense Innovation Institute,Beijing,China","institution_ids":["https://openalex.org/I2802541053"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yao Wang","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":"Yao Wang","raw_affiliation_strings":["National University of Defense Technology,College of Computer Science and Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021086412","display_name":"Jingyue Zhao","orcid":"https://orcid.org/0000-0002-7718-9361"},"institutions":[{"id":"https://openalex.org/I2802541053","display_name":"Academy of Military Medical Sciences","ror":"https://ror.org/02bv3c993","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2802541053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyue Zhao","raw_affiliation_strings":["Academy of Military Sciences,Defense Innovation Institute,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Academy of Military Sciences,Defense Innovation Institute,Beijing,China","institution_ids":["https://openalex.org/I2802541053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064341898","display_name":"Zhijie Yang","orcid":"https://orcid.org/0000-0002-5012-9852"},"institutions":[{"id":"https://openalex.org/I2802541053","display_name":"Academy of Military Medical Sciences","ror":"https://ror.org/02bv3c993","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2802541053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijie Yang","raw_affiliation_strings":["Academy of Military Sciences,Defense Innovation Institute,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Academy of Military Sciences,Defense Innovation Institute,Beijing,China","institution_ids":["https://openalex.org/I2802541053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041787974","display_name":"Xun Xiao","orcid":"https://orcid.org/0000-0002-8635-7400"},"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":"Xun Xiao","raw_affiliation_strings":["National University of Defense Technology,College of Computer Science and Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5080142286"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":2.3583,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89843263,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9979000091552734,"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":0.9979000091552734,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9248999953269958,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9090999960899353,"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/computer-science","display_name":"Computer science","score":0.7622197866439819},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.6253330707550049},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.594429612159729},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.5660246014595032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3909287750720978},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38247567415237427},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3750215768814087}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7622197866439819},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.6253330707550049},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.594429612159729},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.5660246014595032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3909287750720978},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38247567415237427},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3750215768814087},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas58744.2024.10558051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas58744.2024.10558051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":20,"referenced_works":["https://openalex.org/W2005956500","https://openalex.org/W2272847350","https://openalex.org/W2603396821","https://openalex.org/W2773170971","https://openalex.org/W2795250928","https://openalex.org/W2916820451","https://openalex.org/W2963809753","https://openalex.org/W2969331319","https://openalex.org/W2983220838","https://openalex.org/W3000943722","https://openalex.org/W3003494250","https://openalex.org/W3104581735","https://openalex.org/W3126877825","https://openalex.org/W3173681813","https://openalex.org/W3193513114","https://openalex.org/W3209158913","https://openalex.org/W4283749998","https://openalex.org/W4307457783","https://openalex.org/W6802800490","https://openalex.org/W6917408469"],"related_works":["https://openalex.org/W3126544799","https://openalex.org/W3104333581","https://openalex.org/W2542565870","https://openalex.org/W3111828357","https://openalex.org/W3018398156","https://openalex.org/W2920832517","https://openalex.org/W4388827557","https://openalex.org/W4387877594","https://openalex.org/W4377969828","https://openalex.org/W2990011594"],"abstract_inverted_index":{"Automatic":[0],"modulation":[1,40],"classification":[2],"(AMR)":[3],"is":[4,99],"essential":[5],"for":[6,36,93],"receivers":[7],"to":[8,32,68,119,129],"demodulate":[9],"signals":[10],"in":[11],"communication":[12],"systems.":[13],"Currently,":[14],"various":[15],"portable":[16],"devices":[17],"are":[18,65],"capable":[19],"of":[20,25,126],"receiving":[21],"a":[22,33,82,87,110,116,123],"large":[23],"amount":[24],"radio":[26],"and":[27,38,55,101,107,115,142],"real-time":[28],"spectrum":[29],"data,":[30],"leading":[31],"growing":[34],"demand":[35],"fast":[37],"lightweight":[39,59,103,132],"recognition":[41,50,124],"solutions.":[42],"However,":[43],"most":[44,131],"existing":[45],"AMR":[46,78],"schemes":[47],"emphasize":[48],"higher":[49],"accuracy":[51,63,125],"without":[52],"considering":[53],"complexity":[54],"model":[56,79,98,136],"size.":[57],"Therefore,":[58],"methods":[60],"meeting":[61],"the":[62,94,130],"requirements":[64],"still":[66],"left":[67],"be":[69],"investigated.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74],"propose":[75],"an":[76],"efficient":[77],"that":[80],"utilizes":[81,109],"liquid":[83],"state":[84],"machine":[85],"(LSM),":[86],"typical":[88],"spiking":[89],"neural":[90],"network":[91],"(SNN),":[92],"first":[95],"time.":[96],"This":[97],"faster":[100],"more":[102],"than":[104],"previous":[105],"solutions,":[106],"it":[108],"multilayer":[111],"perceptron":[112],"(MLP)":[113],"classifier":[114],"normalization":[117],"unit":[118],"enhance":[120],"performance,":[121],"achieving":[122],"96.4%.":[127],"Compared":[128],"method":[133],"currently,":[134],"our":[135],"has":[137],"2\u00d7":[138],"fewer":[139],"trainable":[140],"parameters":[141],"runs":[143],"260":[144],"\u00d7":[145],"faster.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}