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KUBÁNKOVÁ, A. PŘINOSIL, J. KUBÁNEK, D.
Originální název
Recognition of Digital Modulations Based on Mathematical Classifier
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The paper describes a method for the classification of digital modulations. The method uses features computed from parameters of recognized signal such as instantaneous amplitude, instantaneous phase, and spectrum symmetry. The GentleBoost algorithm was used to analyze the features and classify the modulations. ASK, FSK, MSK, BPSK, QPSK, and QAM-16 were chosen for the classification as the best-known digital modulations used in modern communication technologies. The effectivity of the method designed was tested using signals corrupted by white Gaussian noise.
Klíčová slova
Classification of modulations, recognition, features, classification algorithm
Autoři
KUBÁNKOVÁ, A.; PŘINOSIL, J.; KUBÁNEK, D.
Rok RIV
2010
Vydáno
30. 11. 2010
Nakladatel
WSEAS Press
Místo
Spain
ISBN
978-960-474-250-9
Kniha
Proceedings of the European Conference of Communications (ECCOM '10)
Strany od
245
Strany do
249
Strany počet
5
BibTex
@inproceedings{BUT34668, author="Anna {Kubánková} and Jiří {Přinosil} and David {Kubánek}", title="Recognition of Digital Modulations Based on Mathematical Classifier", booktitle="Proceedings of the European Conference of Communications (ECCOM '10)", year="2010", pages="245--249", publisher="WSEAS Press", address="Spain", isbn="978-960-474-250-9" }