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Description
  • 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. A classifier based on Gaussian mixture models 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. A classifier based on Gaussian mixture models 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
  • Noise Robust Automatic Digital Modulation Recognition Based on Gaussian Mixture Models
  • Noise Robust Automatic Digital Modulation Recognition Based on Gaussian Mixture Models (en)
skos:prefLabel
  • Noise Robust Automatic Digital Modulation Recognition Based on Gaussian Mixture Models
  • Noise Robust Automatic Digital Modulation Recognition Based on Gaussian Mixture Models (en)
skos:notation
  • RIV/00216305:26220/11:PU94338!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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  • 216153
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  • RIV/00216305:26220/11:PU94338
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  • Classification of modulations, recognition, features, Gaussian mixture models (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [13121E422B27]
http://linked.open...v/mistoKonaniAkce
  • Dolní Morava
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  • Brno, Czech Republic
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  • Proceedings of the 6th International Conference on Teleinformatics - ICT 2011 (id 18951)
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http://linked.open...UplatneniVysledku
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  • Atassi, Hicham
  • 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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  • Vysoké učení technické v Brně
https://schema.org/isbn
  • 978-80-214-4231-3
http://localhost/t...ganizacniJednotka
  • 26220
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