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  • 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.
  • 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. (en)
Title
  • Recognition of Digital Modulations Based on Mathematical Classifier
  • Recognition of Digital Modulations Based on Mathematical Classifier (en)
skos:prefLabel
  • Recognition of Digital Modulations Based on Mathematical Classifier
  • Recognition of Digital Modulations Based on Mathematical Classifier (en)
skos:notation
  • RIV/00216305:26220/10:PU89734!RIV11-GA0-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GP102/09/P626), S, Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat
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  • 284194
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  • RIV/00216305:26220/10:PU89734
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  • Classification of modulations, recognition, features, classification algorithm (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [B03ABE29FBBC]
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  • Puerto De La Cruz
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  • Spain
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  • Proceedings of the European Conference of Communications (ECCOM '10)
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  • Přinosil, Jiří
  • Kubánek, David
  • Kubánková, Anna
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http://linked.open...n/vavai/riv/zamer
number of pages
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  • WSEAS Press
https://schema.org/isbn
  • 978-960-474-250-9
http://localhost/t...ganizacniJednotka
  • 26220
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