{"id":"https://openalex.org/W3161083347","doi":"https://doi.org/10.1145/3447654.3447662","title":"Recognition of Signal Modulation Mode Based on Gaussian Filter and Deep Learning","display_name":"Recognition of Signal Modulation Mode Based on Gaussian Filter and Deep Learning","publication_year":2020,"publication_date":"2020-12-18","ids":{"openalex":"https://openalex.org/W3161083347","doi":"https://doi.org/10.1145/3447654.3447662","mag":"3161083347"},"language":"en","primary_location":{"id":"doi:10.1145/3447654.3447662","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447654.3447662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 The 9th International Conference on Networks, Communication and Computing","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/A5108240347","display_name":"Hongmei Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongmei Xie","raw_affiliation_strings":["Northwestern Polytechnical University China, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University China, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100415185","display_name":"Xiaobo Yang","orcid":"https://orcid.org/0000-0003-4585-4176"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Yang","raw_affiliation_strings":["Northwestern Polytechnical University China, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University China, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108240347"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58793875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"50","last_page":"56"},"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":0.6514897346496582},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.627751350402832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5894073247909546},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.536093533039093},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5172417759895325},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.48820072412490845},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4768482446670532},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.46177494525909424},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45612633228302},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.453088641166687},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4492838382720947},{"id":"https://openalex.org/keywords/pulse-density-modulation","display_name":"Pulse-density modulation","score":0.4463884234428406},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4408648610115051},{"id":"https://openalex.org/keywords/matched-filter","display_name":"Matched filter","score":0.4241410493850708},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.42310813069343567},{"id":"https://openalex.org/keywords/frequency-modulation","display_name":"Frequency modulation","score":0.3772623836994171},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3713100552558899},{"id":"https://openalex.org/keywords/amplitude-modulation","display_name":"Amplitude modulation","score":0.3154638707637787},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16828730702400208},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14919114112854004},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.13605231046676636},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.11098328232765198},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08938109874725342}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6514897346496582},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.627751350402832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5894073247909546},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.536093533039093},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5172417759895325},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.48820072412490845},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4768482446670532},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.46177494525909424},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45612633228302},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.453088641166687},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4492838382720947},{"id":"https://openalex.org/C58922158","wikidata":"https://www.wikidata.org/wiki/Q598973","display_name":"Pulse-density modulation","level":5,"score":0.4463884234428406},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4408648610115051},{"id":"https://openalex.org/C50151734","wikidata":"https://www.wikidata.org/wiki/Q1759577","display_name":"Matched filter","level":3,"score":0.4241410493850708},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.42310813069343567},{"id":"https://openalex.org/C11930861","wikidata":"https://www.wikidata.org/wiki/Q181417","display_name":"Frequency modulation","level":3,"score":0.3772623836994171},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3713100552558899},{"id":"https://openalex.org/C201905106","wikidata":"https://www.wikidata.org/wiki/Q183755","display_name":"Amplitude modulation","level":4,"score":0.3154638707637787},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16828730702400208},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14919114112854004},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.13605231046676636},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.11098328232765198},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08938109874725342},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447654.3447662","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447654.3447662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 The 9th International Conference on Networks, Communication and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2790896200","https://openalex.org/W2884089434","https://openalex.org/W2945473916","https://openalex.org/W4231958012","https://openalex.org/W4246468389"],"related_works":["https://openalex.org/W2131681869","https://openalex.org/W1510108355","https://openalex.org/W1996751650","https://openalex.org/W2004723848","https://openalex.org/W2099040572","https://openalex.org/W2110810084","https://openalex.org/W2027855214","https://openalex.org/W2058754098","https://openalex.org/W1979745914","https://openalex.org/W2006943973"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"some":[3],"studies":[4],"have":[5],"shown":[6],"that":[7,115],"the":[8,17,26,98,132,139,146,154,163,171],"deep":[9],"learning":[10],"method":[11,48,117],"can":[12,118,150],"be":[13],"used":[14],"to":[15,33,96],"recognize":[16,119],"modulation":[18,27,46,104,123],"mode":[19],"of":[20,30,65,81,100,122],"signal":[21,32,37,45],"quickly":[22],"and":[23,53,74,84,128,131],"effectively,":[24],"but":[25],"recognition":[28,47,105,134,148,164],"effect":[29,99],"low":[31,75,91],"noise":[34,101],"rate":[35],"(SNR)":[36],"is":[38,87,106,136,141,156,166],"obviously":[39],"poor.":[40],"This":[41],"paper":[42],"presented":[43],"a":[44],"based":[49],"on":[50],"filtering":[51,86],"technique":[52],"Convolution":[54],"Neural":[55],"Network":[56],"(CNN)":[57],"plus":[58],"Long-Short":[59],"Term":[60],"Memory":[61],"(LSTM)":[62],"networks.":[63],"First":[64],"all,":[66],"signals":[67,73,77,127],"are":[68],"divided":[69],"into":[70],"high":[71],"SNR":[72,76,92,140,155],"by":[78],"second-order":[79],"statistics":[80],"modulated":[82],"signals,":[83,93,130],"Gaussian":[85],"carried":[88,107],"out":[89,108],"for":[90,109],"so":[94],"as":[95],"achieve":[97],"reduction.":[102],"Then,":[103],"all":[110],"signals.":[111],"Experimental":[112],"results":[113],"show":[114],"this":[116],"11":[120],"types":[121],"which":[124],"including":[125],"digital":[126],"analog":[129],"average":[133,147],"accuracy":[135,149,165],"71.33%.":[137],"When":[138,153],"greater":[142],"than":[143],"0":[144],"dB,":[145,162],"reach":[151],"96.53%.":[152],"at":[157],"-20":[158],"dB":[159],"\u223c":[160],"-8":[161],"also":[167],"improved":[168],"compared":[169],"with":[170],"CNN":[172],"method.":[173]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}