• DocumentCode
    2818006
  • Title

    An adaptive notch filter for frequency and power estimation with application in telephone signaling codes

  • Author

    Brandão, André Louzada ; Romano, João Marcos Travassos

  • fYear
    1990
  • fDate
    3-6 Sep 1990
  • Firstpage
    312
  • Lastpage
    316
  • Abstract
    Adaptive second-order notch filters are presented for detection and tracking of multifrequency signals corrupted by noise. The adaptation process of the notch was made from the complex coefficients of the first-order linear prediction error filter, associated with the notch. The theoretical analysis yields simple results which are useful for the detection of sinusoidal components in a spectrum. The least-squares algorithm presented does not require matrix inversion, making it easy to compute. The method makes it possible to obtain the power of the input sinusoid and an accurate frequency estimation. The authors apply the method to MFC and DTMF (dual-tone multifrequency code) digital telephone signaling, and obtain useful results for real-time practical applications
  • Keywords
    adaptive filters; digital filters; filtering and prediction theory; notch filters; parameter estimation; signal detection; signalling (telecommunication networks); tracking; adaptive notch filter; complex coefficients; digital filters; dual-tone multifrequency code; first-order linear prediction error filter; frequency estimation; least-squares algorithm; linear prediction; multifrequency signals; noise; power estimation; signal detection; sinusoidal components; telephone signaling codes; Adaptive filters; Bandwidth; Finite impulse response filter; Frequency estimation; Helium; IIR filters; Signal analysis; Signal to noise ratio; Telephony; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications Symposium, 1990. ITS '90 Symposium Record., SBT/IEEE International
  • Conference_Location
    Rio de Janeiro
  • Type

    conf

  • DOI
    10.1109/ITS.1990.175619
  • Filename
    175619