• DocumentCode
    1560403
  • Title

    A wavelet networks-based method for the digital telecommunication system monitoring

  • Author

    Daponte, Pasquale ; Mercurio, Gianpaolo ; Rapuano, Sergio

  • Author_Institution
    Facolta di Ingegneria, Univ. del Sannio, Benevento, Italy
  • Volume
    50
  • Issue
    6
  • fYear
    2001
  • fDate
    12/1/2001 12:00:00 AM
  • Firstpage
    1773
  • Lastpage
    1780
  • Abstract
    This paper deals with an automatic monitoring method for digital telecommunication systems. The method is based on the use of wavelet networks (WNs) for signal classification. After some theoretical considerations on the WN theory, the procedure for the implementation of the method is described. The method, designed for quadrature amplitude modulation signals, can be easily extended to further modulation schemes. The metrological characterization of the method is carried out by means of numerical and experimental tests. The results highlight the good performance of the method
  • Keywords
    backpropagation; computerised monitoring; condition monitoring; digital communication; error statistics; neural nets; quadrature amplitude modulation; quality of service; signal classification; telecommunication computing; time-frequency analysis; ANN; BER; QAM signals; QoS; SNR; automatic monitoring method; bit error rate; constellation diagram; digital telecommunication system monitoring; eye pattern; metrological characterization; modulation schemes; quadrature amplitude modulation signals; quality-of-service; signal classification; time-frequency representations; wavelet networks-based method; Artificial neural networks; Automatic testing; Computerized monitoring; Filter bank; Frequency; Humans; Pattern classification; Quadrature amplitude modulation; Signal analysis; Stress measurement;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/19.982979
  • Filename
    982979