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  • The paper describes algorithm for the classification of digital modulations and its testing with disturbed signals. 2ASK, 2FSK, 4FSK, MSK, BPSK, QPSK, 8PSK and 16QAM were chosen for recognition as the best-known digital modulations used in modern communication technologies. The method designed uses ten features computed from parameters of recognized signal such as instantaneous amplitude, instantaneous phase, instantaneous frequency and spectrum characteristic. The GentleBoost algorithm was used to analyze the features and classify the modulations. We used multipath fading channel to model signal propagation and disturbed the signal by white Gaussian noise for the purpose of testing the algorithm.
  • The paper describes algorithm for the classification of digital modulations and its testing with disturbed signals. 2ASK, 2FSK, 4FSK, MSK, BPSK, QPSK, 8PSK and 16QAM were chosen for recognition as the best-known digital modulations used in modern communication technologies. The method designed uses ten features computed from parameters of recognized signal such as instantaneous amplitude, instantaneous phase, instantaneous frequency and spectrum characteristic. The GentleBoost algorithm was used to analyze the features and classify the modulations. We used multipath fading channel to model signal propagation and disturbed the signal by white Gaussian noise for the purpose of testing the algorithm. (en)
Title
  • Digital modulation classification based on characteristic features and GentleBoost algorithm
  • Digital modulation classification based on characteristic features and GentleBoost algorithm (en)
skos:prefLabel
  • Digital modulation classification based on characteristic features and GentleBoost algorithm
  • Digital modulation classification based on characteristic features and GentleBoost algorithm (en)
skos:notation
  • RIV/00216305:26220/11:PU94343!RIV12-MSM-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
http://linked.open...aciTvurceVysledku
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  • 194640
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/11:PU94343
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  • Recognition of modulations, Digital modulation, Classification algorithm, Features extraction (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [959FD2A73183]
http://linked.open...v/mistoKonaniAkce
  • Budapest
http://linked.open...i/riv/mistoVydani
  • Budapest, Hungary
http://linked.open...i/riv/nazevZdroje
  • 34th International Conference on Telecommunications and Signal Processing
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http://linked.open...UplatneniVysledku
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  • Přinosil, Jiří
  • Kubánek, David
  • Kubánková, Anna
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • Asszisztencia Szervezo Kft.
https://schema.org/isbn
  • 978-1-4577-1410-8
http://localhost/t...ganizacniJednotka
  • 26220
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