{"id":"https://openalex.org/W2960629111","doi":"https://doi.org/10.1109/lcomm.2019.2927348","title":"Classification of Spectrally Efficient Constant Envelope Modulations Based on Radial Basis Function Network and Deep Learning","display_name":"Classification of Spectrally Efficient Constant Envelope Modulations Based on Radial Basis Function Network and Deep Learning","publication_year":2019,"publication_date":"2019-07-12","ids":{"openalex":"https://openalex.org/W2960629111","doi":"https://doi.org/10.1109/lcomm.2019.2927348","mag":"2960629111"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2019.2927348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2019.2927348","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Letters","raw_type":"journal-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/A5080780909","display_name":"Maqsood Hussain Shah","orcid":"https://orcid.org/0000-0002-7375-0131"},"institutions":[{"id":"https://openalex.org/I4210138978","display_name":"Nanjing University of the Arts","ror":"https://ror.org/0457pxg28","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210138978"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maqsood Hussain Shah","raw_affiliation_strings":["College of Electronics and Information Engineering, NUAA, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7375-0131","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, NUAA, Nanjing, China","institution_ids":["https://openalex.org/I4210138978"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112320761","display_name":"Xiaoyu Dang","orcid":"https://orcid.org/0000-0002-1519-7139"},"institutions":[{"id":"https://openalex.org/I4210138978","display_name":"Nanjing University of the Arts","ror":"https://ror.org/0457pxg28","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210138978"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Dang","raw_affiliation_strings":["College of Electronics and Information Engineering, NUAA, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, NUAA, Nanjing, China","institution_ids":["https://openalex.org/I4210138978"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5907,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.87725411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"23","issue":"9","first_page":"1529","last_page":"1533"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.984000027179718,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/autoencoder","display_name":"Autoencoder","score":0.7883145213127136},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.7176899909973145},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6422819495201111},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6280055642127991},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.612837016582489},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5878472328186035},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.574623703956604},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.5494052171707153},{"id":"https://openalex.org/keywords/radial-basis-function-network","display_name":"Radial basis function network","score":0.532256543636322},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.44780057668685913},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.437486469745636},{"id":"https://openalex.org/keywords/envelope","display_name":"Envelope (radar)","score":0.4164334535598755},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4000755548477173},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33342015743255615},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23671606183052063},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.11676234006881714}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7883145213127136},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.7176899909973145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6422819495201111},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6280055642127991},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.612837016582489},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5878472328186035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.574623703956604},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.5494052171707153},{"id":"https://openalex.org/C132917294","wikidata":"https://www.wikidata.org/wiki/Q2679684","display_name":"Radial basis function network","level":4,"score":0.532256543636322},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.44780057668685913},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.437486469745636},{"id":"https://openalex.org/C65155139","wikidata":"https://www.wikidata.org/wiki/Q5380912","display_name":"Envelope (radar)","level":3,"score":0.4164334535598755},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4000755548477173},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33342015743255615},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23671606183052063},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.11676234006881714},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2019.2927348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2019.2927348","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1607566125","display_name":"\u57fa\u4e8e\u5927\u4e8e1\u8c03\u5236\u5ea6\u6269\u9891\u8fde\u7eed\u76f8\u4f4d\u4fe1\u53f7\u7684\u5168\u7403\u5bfc\u822a\u536b\u661f\u7cfb\u7edf\u6ce2\u5f62\u7814\u7a76","funder_award_id":"61571224","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3114777139","display_name":null,"funder_award_id":"NP2017209","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3588354095","display_name":"\u7eff\u8272\u5206\u5e03\u5f0f\u5929\u7ebf\u7cfb\u7edf\u4e2d\u80fd\u91cf\u6709\u6548\u7684\u94fe\u8def\u81ea\u9002\u5e94\u4f20\u8f93\u6280\u672f\u7814\u7a76","funder_award_id":"61571225","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1479704342","https://openalex.org/W1484094384","https://openalex.org/W1963581687","https://openalex.org/W1965555277","https://openalex.org/W2005956500","https://openalex.org/W2042422589","https://openalex.org/W2068600007","https://openalex.org/W2109249751","https://openalex.org/W2118619036","https://openalex.org/W2127192673","https://openalex.org/W2151205149","https://openalex.org/W2163785141","https://openalex.org/W2170778725","https://openalex.org/W2294292751","https://openalex.org/W2504964450","https://openalex.org/W2683165743","https://openalex.org/W2734408173","https://openalex.org/W2901751121","https://openalex.org/W2911036838","https://openalex.org/W4232120769"],"related_works":["https://openalex.org/W4287995534","https://openalex.org/W2998168123","https://openalex.org/W2897995864","https://openalex.org/W2292254049","https://openalex.org/W2592385986","https://openalex.org/W2610906757","https://openalex.org/W4281924768","https://openalex.org/W3099179464","https://openalex.org/W2772780115","https://openalex.org/W2960629111"],"abstract_inverted_index":{"Despite":[0],"its":[1],"significance,":[2],"modulation":[3],"classification":[4,42,50],"of":[5,43,70,86,110],"constant":[6],"envelope":[7],"modulations":[8],"(CEM)":[9],"has":[10],"not":[11,54],"gained":[12],"worthy":[13],"attention":[14],"in":[15],"AMC":[16],"literature":[17],"so":[18],"far.":[19],"Two":[20],"neural":[21,33,81],"network-based":[22],"architectures,":[23],"i.e.,":[24],"radial":[25],"basis":[26],"function":[27],"network":[28,34,82],"(RBFN)":[29],"and":[30,38,100],"sparse-autoencoder-based":[31],"deep":[32],"(DNN)":[35],"are":[36],"proposed":[37,71],"analyzed":[39,90],"for":[40,91],"the":[41,60,68,79,92,108],"spectrally":[44],"efficient":[45],"CEM":[46,63],"modulations.":[47],"A":[48],"blind":[49],"method":[51],"which":[52],"does":[53],"require":[55],"any":[56],"a-priori":[57],"information":[58],"about":[59],"channel":[61,99],"or":[62],"specifics":[64],"is":[65,89],"based":[66],"on":[67],"effectiveness":[69],"hybrid":[72],"feature":[73],"space":[74],"(HFS),":[75],"used":[76],"to":[77],"train":[78],"trending":[80],"classifiers.":[83],"Classification":[84],"performance":[85],"both":[87],"networks":[88],"typical":[93],"additive":[94],"white":[95],"Gaussian":[96],"noise":[97],"(AWGN)":[98],"less":[101],"explored,":[102],"unfriendly,":[103],"frequency-selective":[104],"fading":[105],"environment":[106],"under":[107],"impact":[109],"Doppler":[111],"shift.":[112]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}