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Description
  • V článku je popsána nová metoda klasifikace modulací. Klasifikační metoda je založena na rozpoznávání obrazů spektrogramů a muže rozlišovat digitální modulace FSK, BPSK, MSK, QPSK a QAM. Nová metoda byla také testována na signálech zašuměných bílím Gausovým šumem při odstupu signál-šum 10 dB. (cs)
  • The paper describes a new method of modulation classification. For the analysis, modulation signals and their spectrograms were obtained in the Matlab program. The classification method is based on spectrogram image recognition and it can discriminate between various digital signal modulations, such as FSK, BPSK, MSK, QPSK and QAM. The new method was tested using modulated signals corrupted by Gaussian noise, and it is well usable with signal-to-noise ratios as low as 10 dB.
  • The paper describes a new method of modulation classification. For the analysis, modulation signals and their spectrograms were obtained in the Matlab program. The classification method is based on spectrogram image recognition and it can discriminate between various digital signal modulations, such as FSK, BPSK, MSK, QPSK and QAM. The new method was tested using modulated signals corrupted by Gaussian noise, and it is well usable with signal-to-noise ratios as low as 10 dB. (en)
Title
  • Digital Modulations Classification
  • Digital Modulations Classification (en)
  • Klasifikace digitálních modulací (cs)
skos:prefLabel
  • Digital Modulations Classification
  • Digital Modulations Classification (en)
  • Klasifikace digitálních modulací (cs)
skos:notation
  • RIV/00216305:26220/07:PU68889!RIV08-MSM-26220___
http://linked.open.../vavai/riv/strany
  • 1-8
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  • Z(MSM0021630513)
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  • 417337
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  • RIV/00216305:26220/07:PU68889
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  • Modulation, Classification, Spectrogram. (en)
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http://linked.open...ontrolniKodProRIV
  • [7DF7BDE09731]
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  • Praha
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  • Prague
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  • 12th IFIP International Conference on Personal Wireless Communications (PWC 2007)
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  • Kovář, Petr
  • Kubánek, David
  • Shklyaeva, Anna
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number of pages
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  • Neuveden
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  • 978-0-387-74158-1
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  • 26220
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