{"id":"https://openalex.org/W2774427045","doi":"https://doi.org/10.1109/ictc.2017.8190976","title":"Enhanced modulation classification algorithm based on Kolmogorov-Smirnov test","display_name":"Enhanced modulation classification algorithm based on Kolmogorov-Smirnov test","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2774427045","doi":"https://doi.org/10.1109/ictc.2017.8190976","mag":"2774427045"},"language":"en","primary_location":{"id":"doi:10.1109/ictc.2017.8190976","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2017.8190976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5108399286","display_name":"Seongjin Ahn","orcid":null},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Seongjin Ahn","raw_affiliation_strings":["Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089278385","display_name":"Jaeyoon Lee","orcid":"https://orcid.org/0000-0002-5753-6477"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaeyoon Lee","raw_affiliation_strings":["Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010673789","display_name":"Dongweon Yoon","orcid":"https://orcid.org/0000-0001-9631-3500"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongweon Yoon","raw_affiliation_strings":["Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102839991","display_name":"Jun Won Choi","orcid":"https://orcid.org/0000-0002-3733-0148"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun Won Choi","raw_affiliation_strings":["Department of Electrical Engineering, Hanyang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Hanyang University, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108399286"],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":null,"apc_paid":null,"fwci":0.39,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71964181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"232","last_page":"234"},"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":0.95660001039505,"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":0.9275000095367432,"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/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.7754693031311035},{"id":"https://openalex.org/keywords/kolmogorov\u2013smirnov-test","display_name":"Kolmogorov\u2013Smirnov test","score":0.6197762489318848},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.5728018879890442},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.570499837398529},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5175918340682983},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.47588789463043213},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.47043082118034363},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4670001268386841},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4656938314437866},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.46354836225509644},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.45433998107910156},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.424924373626709},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41416168212890625},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.37223508954048157}],"concepts":[{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.7754693031311035},{"id":"https://openalex.org/C82581908","wikidata":"https://www.wikidata.org/wiki/Q575766","display_name":"Kolmogorov\u2013Smirnov test","level":3,"score":0.6197762489318848},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.5728018879890442},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.570499837398529},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5175918340682983},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.47588789463043213},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.47043082118034363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4670001268386841},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4656938314437866},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.46354836225509644},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.45433998107910156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.424924373626709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41416168212890625},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37223508954048157},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/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/ictc.2017.8190976","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2017.8190976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1484094384","https://openalex.org/W1988650030","https://openalex.org/W2005956500","https://openalex.org/W2072550346","https://openalex.org/W2114267371","https://openalex.org/W2125769353","https://openalex.org/W2142363115","https://openalex.org/W2170778725","https://openalex.org/W2548159479","https://openalex.org/W6668565157"],"related_works":["https://openalex.org/W249541249","https://openalex.org/W1536719639","https://openalex.org/W1588771202","https://openalex.org/W2101505280","https://openalex.org/W1974392290","https://openalex.org/W3103566292","https://openalex.org/W1607924090","https://openalex.org/W1966961941","https://openalex.org/W2943190685","https://openalex.org/W825300807"],"abstract_inverted_index":{"We":[0],"propose":[1],"an":[2,80],"enhanced":[3],"automatic":[4],"modulation":[5,53],"classification":[6,70],"algorithm":[7,67,78],"based":[8,36,77],"on":[9],"Kolmogorov-Smirnov":[10],"test.":[11],"The":[12],"proposed":[13,59,66],"classifier":[14],"employs":[15],"the":[16,23,32,43,48,58,65,73],"real":[17],"and":[18,47],"imaginary":[19],"components":[20],"extracted":[21],"from":[22],"received":[24],"signal":[25],"as":[26],"separate":[27],"decision":[28],"statistics.":[29],"Also,":[30],"unlike":[31],"conventional":[33,74],"K-S":[34,75],"test":[35,76],"algorithm,":[37],"mean":[38],"square":[39],"error":[40],"(MSE)":[41],"between":[42],"empirical":[44],"cumulative":[45],"distribution":[46,50],"hypothesized":[49],"for":[51],"each":[52],"candidate":[54],"is":[55],"evaluated":[56],"in":[57,79],"algorithm.":[60],"Simulation":[61],"results":[62],"show":[63],"that":[64],"provides":[68],"better":[69],"performance":[71],"than":[72],"additive":[81],"white":[82],"Gaussian":[83],"noise":[84],"(AWGN)":[85],"channel.":[86]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}