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Algorithm for automatic recognition of PSK and QAM with unique classifier based on features and threshold levels.
Ali, Ahmed K; Erçelebi, Ergun.
Affiliation
  • Ali AK; Department of Electrical and Electronics Engineering, University of Gaziantep, 27310 Gaziantep, Turkey; Department of Electrical Engineering, University of Mustansiriyah, Baghdad, Iraq. Electronic address: ahmed.ali@mail2.gantep.edu.tr.
  • Erçelebi E; Department of Electrical and Electronics Engineering, University of Gaziantep, 27310 Gaziantep, Turkey.
ISA Trans ; 102: 173-192, 2020 Jul.
Article in En | MEDLINE | ID: mdl-32169291

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: ISA Trans Year: 2020 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: ISA Trans Year: 2020 Document type: Article Country of publication: United States