{"id":"https://openalex.org/W2993484807","doi":"https://doi.org/10.1109/lsp.2019.2957924","title":"Novel Feature Selection Method Using Bhattacharyya Distance for Neural Networks Based Automatic Modulation Classification","display_name":"Novel Feature Selection Method Using Bhattacharyya Distance for Neural Networks Based Automatic Modulation Classification","publication_year":2019,"publication_date":"2019-12-06","ids":{"openalex":"https://openalex.org/W2993484807","doi":"https://doi.org/10.1109/lsp.2019.2957924","mag":"2993484807"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2019.2957924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2019.2957924","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Signal Processing 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/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Maqsood Hussain Shah","raw_affiliation_strings":["College of Electronics and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"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/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Dang","raw_affiliation_strings":["College of Electronics and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080780909"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":2.3126,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.91378657,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"27","issue":null,"first_page":"106","last_page":"110"},"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"}},{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9873999953269958,"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"}},{"id":"https://openalex.org/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9768000245094299,"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/bhattacharyya-distance","display_name":"Bhattacharyya distance","score":0.9874132871627808},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6412286758422852},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6038889288902283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6020510792732239},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5534958839416504},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5338994264602661},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.5334489345550537},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5056195259094238},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4980278015136719},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.4720892608165741},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.45998185873031616},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4191398620605469},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41530799865722656},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3588194251060486},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23971953988075256},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.14794307947158813},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08459299802780151}],"concepts":[{"id":"https://openalex.org/C24145651","wikidata":"https://www.wikidata.org/wiki/Q2901249","display_name":"Bhattacharyya distance","level":2,"score":0.9874132871627808},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6412286758422852},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6038889288902283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6020510792732239},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5534958839416504},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5338994264602661},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.5334489345550537},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5056195259094238},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4980278015136719},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.4720892608165741},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.45998185873031616},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4191398620605469},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41530799865722656},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3588194251060486},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23971953988075256},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.14794307947158813},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08459299802780151},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2019.2957924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2019.2957924","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1607566125","display_name":null,"funder_award_id":"61571224","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G218151101","display_name":null,"funder_award_id":"61971221","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5703941478","display_name":null,"funder_award_id":"61971220","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1484094384","https://openalex.org/W1927699027","https://openalex.org/W1978627835","https://openalex.org/W2005956500","https://openalex.org/W2020668506","https://openalex.org/W2102017903","https://openalex.org/W2143859313","https://openalex.org/W2149197198","https://openalex.org/W2155818328","https://openalex.org/W2291961022","https://openalex.org/W2333714987","https://openalex.org/W2560036562","https://openalex.org/W2603396821","https://openalex.org/W2734408173","https://openalex.org/W2753161394","https://openalex.org/W2755335499","https://openalex.org/W2782943884","https://openalex.org/W2790896200","https://openalex.org/W2960629111","https://openalex.org/W2963759574","https://openalex.org/W3110683067","https://openalex.org/W6681017033","https://openalex.org/W6749023256","https://openalex.org/W6786768871"],"related_works":["https://openalex.org/W1982681402","https://openalex.org/W3149747767","https://openalex.org/W1536747792","https://openalex.org/W2192403599","https://openalex.org/W2366937720","https://openalex.org/W2163087802","https://openalex.org/W2155818328","https://openalex.org/W2121699558","https://openalex.org/W4244450895","https://openalex.org/W2030492942"],"abstract_inverted_index":{"In":[0],"the":[1,17,31,46,67,77,80,122],"context":[2],"of":[3],"Automatic":[4],"Modulation":[5],"Classification":[6],"(AMC),":[7],"some":[8],"recent":[9],"works":[10],"have":[11],"utilized":[12,74],"multiple":[13],"features":[14,57,78],"to":[15,24,29,44,75],"train":[16],"neural":[18,99],"network.":[19],"With":[20],"an":[21,118],"ultimate":[22],"aim":[23],"develop":[25],"a":[26,41,59,88],"systematic":[27],"approach":[28,93],"select":[30,45,76],"most":[32,47],"diverse":[33,48],"and":[34,39,105],"unique":[35],"features,":[36],"we":[37],"propose":[38],"demonstrate":[40],"novel":[42],"method":[43],"(":[49],"<sub":[50],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[51,54],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[52],"<sup":[53],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">m</sup>":[55],")":[56],"from":[58],"larger":[60],"feature":[61],"set.":[62],"Bhattacharyya":[63],"distance":[64,82],"metric":[65],"for":[66,83,96],"dissimilarity":[68],"between":[69],"two":[70],"probability":[71],"distributions":[72],"is":[73,94,115],"with":[79,117],"highest":[81],"all":[84],"modulation":[85],"pairs":[86],"within":[87],"test":[89],"pool.":[90],"The":[91],"proposed":[92],"analyzed":[95],"three":[97],"different":[98],"networks":[100],"based":[101],"classifiers,":[102],"amidst":[103],"AWGN":[104],"frequency-selective":[106],"fading":[107],"channels.":[108],"A":[109],"substantial":[110],"reduction":[111],"in":[112],"computational":[113],"complexity":[114],"achieved":[116],"acceptable":[119],"compromise":[120],"on":[121],"classification":[123],"performance.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}