{"id":"https://openalex.org/W1999776295","doi":"https://doi.org/10.1109/istel.2012.6483016","title":"Automatic digital modulation recognition in presence of noise using SVM and PSO","display_name":"Automatic digital modulation recognition in presence of noise using SVM and PSO","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W1999776295","doi":"https://doi.org/10.1109/istel.2012.6483016","mag":"1999776295"},"language":"en","primary_location":{"id":"doi:10.1109/istel.2012.6483016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/istel.2012.6483016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th International Symposium on Telecommunications (IST)","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/A5017027039","display_name":"Mohammad Hadi Valipour","orcid":"https://orcid.org/0000-0003-1055-3955"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"M. Hadi Valipour","raw_affiliation_strings":["Laboratory for Intelligent Multimedia Processing Department of Computer Engineering and Information Technology, Amirkabir University of Technology, Tehran, Iran","Laboratory for Intelligent Multimedia Processing, Department of Computer Engineering and Information Technology, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Laboratory for Intelligent Multimedia Processing Department of Computer Engineering and Information Technology, Amirkabir University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]},{"raw_affiliation_string":"Laboratory for Intelligent Multimedia Processing, Department of Computer Engineering and Information Technology, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048230415","display_name":"Mohammad Mehdi Homayounpour","orcid":"https://orcid.org/0000-0002-2379-4427"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"M. Mehdi Homayounpour","raw_affiliation_strings":["Laboratory for Intelligent Multimedia Processing Department of Computer Engineering and Information Technology, Amirkabir University of Technology, Tehran, Iran","Laboratory for Intelligent Multimedia Processing, Department of Computer Engineering and Information Technology, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Laboratory for Intelligent Multimedia Processing Department of Computer Engineering and Information Technology, Amirkabir University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]},{"raw_affiliation_string":"Laboratory for Intelligent Multimedia Processing, Department of Computer Engineering and Information Technology, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048242222","display_name":"Mohammad Amin Mehralian","orcid":"https://orcid.org/0000-0003-4705-3700"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"M. Amin Mehralian","raw_affiliation_strings":["Laboratory for Intelligent Multimedia Processing Department of Computer Engineering and Information Technology, Amirkabir University of Technology, Tehran, Iran","Laboratory for Intelligent Multimedia Processing, Department of Computer Engineering and Information Technology, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Laboratory for Intelligent Multimedia Processing Department of Computer Engineering and Information Technology, Amirkabir University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]},{"raw_affiliation_string":"Laboratory for Intelligent Multimedia Processing, Department of Computer Engineering and Information Technology, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017027039"],"corresponding_institution_ids":["https://openalex.org/I158248296"],"apc_list":null,"apc_paid":null,"fwci":1.7125,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.85772001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"378","last_page":"382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9668999910354614,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9581999778747559,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8081979155540466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.714911699295044},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6662203073501587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6435185670852661},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6323651075363159},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.615489661693573},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5886776447296143},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4829815924167633},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4537428319454193},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.43625587224960327},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2932325005531311},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.2825815677642822},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0930737853050232}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8081979155540466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.714911699295044},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6662203073501587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6435185670852661},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6323651075363159},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.615489661693573},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5886776447296143},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4829815924167633},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4537428319454193},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.43625587224960327},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2932325005531311},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.2825815677642822},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0930737853050232},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/istel.2012.6483016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/istel.2012.6483016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th International Symposium on Telecommunications (IST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1489213177","https://openalex.org/W2042272696","https://openalex.org/W2111146231","https://openalex.org/W2114253536","https://openalex.org/W2126455177","https://openalex.org/W2133583242","https://openalex.org/W2139054978","https://openalex.org/W2139212933","https://openalex.org/W2145930594","https://openalex.org/W2153635508","https://openalex.org/W2266434006","https://openalex.org/W2543580944","https://openalex.org/W3013430759","https://openalex.org/W3120421331"],"related_works":["https://openalex.org/W2101505280","https://openalex.org/W2791735244","https://openalex.org/W4377082691","https://openalex.org/W4205110002","https://openalex.org/W2349688938","https://openalex.org/W2061662525","https://openalex.org/W3119031021","https://openalex.org/W4391086841","https://openalex.org/W2312603618","https://openalex.org/W3019402777"],"abstract_inverted_index":{"Automatic":[0],"digital":[1,32],"modulation":[2,33],"recognition":[3,60],"in":[4,15,35,59,112,138,157,165],"intelligent":[5],"communication":[6],"systems":[7],"is":[8,54,63],"one":[9],"of":[10,37,48,52,88,92,106,159],"the":[11,104,107],"most":[12],"important":[13],"issues":[14],"software":[16],"radio":[17],"and":[18,77,118,121],"cognitive":[19],"radio.":[20],"In":[21,43],"this":[22,44,152],"paper":[23],"a":[24,46,71,113],"new":[25],"method":[26,45,73,125,153],"will":[27],"be":[28,57],"presented":[29],"for":[30,74,126],"automatic":[31],"classification":[34],"presence":[36,158],"additive":[38],"white":[39],"Gaussian":[40],"noise":[41,160],"(AWGN).":[42],"set":[47],"three":[49],"different":[50,90],"types":[51,91],"features":[53,131],"extracted":[55],"to":[56,82,102,149],"employed":[58],"process.":[61],"Classification":[62],"based":[64,129],"on":[65,130,133],"support":[66],"vector":[67],"machine":[68],"(SVM)":[69],"as":[70,116,161],"powerful":[72],"pattern":[75],"recognition,":[76],"particle":[78],"swarm":[79],"optimization":[80],"(PSO)":[81],"configure":[83],"kernel":[84],"parameters.":[85],"Computer":[86],"simulations":[87],"16":[89],"digitally":[93],"modulated":[94],"signals":[95],"corrupted":[96],"by":[97],"AWGN":[98],"are":[99],"carried":[100],"out":[101],"measure":[103],"performance":[105],"method.":[108],"Employing":[109],"multiple":[110],"SVMs":[111],"hierarchical":[114],"structure":[115],"inter-class":[117],"intra-class":[119],"classifiers":[120],"also":[122],"our":[123],"proposed":[124],"feature":[127],"selection":[128],"impact":[132],"severance,":[134],"presents":[135],"good":[136],"results":[137,141],"simulations.":[139],"The":[140],"show":[142],"that":[143],"with":[144],"infinite":[145],"SNR,":[146],"accuracy":[147],"tends":[148],"99.9%.":[150],"Also":[151],"shows":[154],"eligible":[155],"robustness":[156],"we":[162],"can":[163],"see":[164],"experiments":[166],"conducted":[167],"using":[168],"low":[169],"SNR":[170],"data.":[171]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}