{"id":"https://openalex.org/W3126495758","doi":"https://doi.org/10.1109/indicon49873.2020.9342123","title":"2D-FFT Based Modulation Classification Using Deep Convolution Neural Network","display_name":"2D-FFT Based Modulation Classification Using Deep Convolution Neural Network","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3126495758","doi":"https://doi.org/10.1109/indicon49873.2020.9342123","mag":"3126495758"},"language":"en","primary_location":{"id":"doi:10.1109/indicon49873.2020.9342123","doi":"https://doi.org/10.1109/indicon49873.2020.9342123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indicon49873.2020.9342123","pdf_url":null,"source":{"id":"https://openalex.org/S4306418634","display_name":"IEEE India Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th India Council International Conference (INDICON)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5101595195","display_name":"Yogesh Kumar","orcid":"https://orcid.org/0000-0001-5894-7334","observed_orcids":["https://orcid.org/0000-0001-5894-7334"]},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Yogesh Kumar","raw_affiliation_strings":["Indian Institute of Technology Jodhpur, Rajasthan, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Jodhpur, Rajasthan, India","institution_ids":["https://openalex.org/I154549908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048634550","display_name":"Gaurav Jajoo","orcid":"https://orcid.org/0000-0001-5234-8867","observed_orcids":["https://orcid.org/0000-0001-5234-8867"]},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gaurav Jajoo","raw_affiliation_strings":["Indian Institute of Technology Jodhpur, Rajasthan, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Jodhpur, Rajasthan, India","institution_ids":["https://openalex.org/I154549908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011582677","display_name":"Sandeep Kumar Yadav","orcid":"https://orcid.org/0000-0001-7337-1134","observed_orcids":["https://orcid.org/0000-0001-7337-1134","https://orcid.org/0009-0008-3491-873X"]},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sandeep Kumar Yadav","raw_affiliation_strings":["Indian Institute of Technology Jodhpur, Rajasthan, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Jodhpur, Rajasthan, India","institution_ids":["https://openalex.org/I154549908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154549908"],"apc_list":null,"apc_paid":null,"fwci":0.1592,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.36309003,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"7","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":1.0,"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":1.0,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/automatic-modulation-recognition","display_name":"automatic modulation classification","score":0.9869999885559082},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.8569999933242798},{"id":"https://openalex.org/keywords/psk-modulation","display_name":"PSK modulation","score":0.6759999990463257},{"id":"https://openalex.org/keywords/quadrature-amplitude-modulation","display_name":"quadrature amplitude modulation","score":0.996999979019165},{"id":"https://openalex.org/keywords/signal-classification","display_name":"signal classification","score":0.3700000047683716},{"id":"https://openalex.org/keywords/awgn-channel","display_name":"AWGN channel","score":0.781000018119812},{"id":"https://openalex.org/keywords/spectrum-sensing","display_name":"spectrum sensing","score":0.45399999618530273},{"id":"https://openalex.org/keywords/interference-management","display_name":"interference management","score":0.6800000071525574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7343006134033203},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.6704961657524109},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.6401759386062622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6361167430877686},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6055412292480469},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5883960723876953},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5747649669647217},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5745994448661804},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5456557273864746},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5209785103797913},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5140817761421204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5004227161407471},{"id":"https://openalex.org/C32409245","wikidata":"https://www.wikidata.org/wiki/Q749753","display_name":"Quadrature amplitude modulation","level":4,"score":0.4547814428806305},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4263852834701538},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4225856363773346},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29234546422958374},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.28783899545669556},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.06786796450614929},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/indicon49873.2020.9342123","doi":"https://doi.org/10.1109/indicon49873.2020.9342123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indicon49873.2020.9342123","pdf_url":null,"source":{"id":"https://openalex.org/S4306418634","display_name":"IEEE India Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th India Council International Conference (INDICON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2005956500","https://openalex.org/W2042272696","https://openalex.org/W2048654658","https://openalex.org/W2072550346","https://openalex.org/W2097562333","https://openalex.org/W2103192447","https://openalex.org/W2103980348","https://openalex.org/W2113049834","https://openalex.org/W2133583242","https://openalex.org/W2147893740","https://openalex.org/W2154237744","https://openalex.org/W2591005920","https://openalex.org/W2744207893","https://openalex.org/W2753832502","https://openalex.org/W2756575923","https://openalex.org/W2884089434","https://openalex.org/W2892154397","https://openalex.org/W2917006683","https://openalex.org/W2944135045","https://openalex.org/W2956830196","https://openalex.org/W2986739745","https://openalex.org/W3003174479","https://openalex.org/W3010945235","https://openalex.org/W3011724393","https://openalex.org/W3013697067","https://openalex.org/W6676796650"],"related_works":["https://openalex.org/W4308422128","https://openalex.org/W4311537409","https://openalex.org/W4409495472","https://openalex.org/W4386763867","https://openalex.org/W4366420438","https://openalex.org/W4200173458","https://openalex.org/W4293425612","https://openalex.org/W2892154397","https://openalex.org/W3150544101","https://openalex.org/W4377233869"],"abstract_inverted_index":{"Automatic":[0],"modulation":[1,111,130],"classification":[2,95,125],"(AMC)":[3],"has":[4],"a":[5,74,94,98],"wide":[6],"range":[7],"of":[8,25,34,49,113,116],"applications":[9,38],"in":[10,132],"the":[11,17,23,32,47,110,133],"military":[12],"and":[13,31,42,56,67,97,101,118],"civilian":[14],"areas.":[15],"In":[16],"military,":[18],"it":[19],"is":[20,82,91,106],"used":[21,92],"for":[22,127],"extraction":[24],"information":[26],"from":[27],"unknown":[28],"intercepted":[29],"signals":[30],"generation":[33],"jamming":[35],"signals.":[36],"Civil":[37],"include":[39],"interference":[40],"management":[41],"spectrum":[43],"underutilization.":[44],"To":[45],"overcome":[46],"limitations":[48],"traditional":[50],"methods":[51],"like":[52],"maximum":[53],"likelihood":[54],"(ML)":[55],"feature-":[57],"based":[58,79],"(FB),":[59],"deep":[60,103],"learning":[61],"(DL)":[62],"networks":[63],"have":[64],"been":[65],"developed":[66,121],"are":[68],"being":[69],"evolved.":[70],"Following":[71],"this":[72],"direction,":[73],"convolution":[75],"neural":[76],"network":[77],"(CNN)":[78],"AMC":[80],"method":[81,122],"proposed.":[83],"The":[84,120],"two":[85],"dimensional":[86],"Fast":[87],"Fourier":[88],"Transform":[89],"(2D-FFT)":[90],"as":[93],"feature":[96],"less":[99],"complex":[100],"efficient":[102],"CNN":[104],"model":[105],"designed":[107],"to":[108],"classify":[109],"schemes":[112,131],"different":[114],"orders":[115],"PSK":[117],"QAM.":[119],"achieves":[123],"adequate":[124],"performance":[126],"considered":[128],"five":[129],"AWGN":[134],"channel.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2021-02-15T00:00:00"}