• DocumentCode
    353605
  • Title

    Fundamental frequency estimation by higher order spectrum

  • Author

    Jiang, Xudong

  • Author_Institution
    Centre for Signal Process., Nanyang Technol. Inst., Singapore
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    253
  • Abstract
    This paper proposes a new approach to estimate the fundamental frequency of periodic non-sinusoidal signals by higher order spectrum (HOS). The power of a periodic non-sinusoidal signal is distributed to its fundamental frequency and harmonics. Properly defined higher order spectrum can enhance the fundamental frequency component of spectrum by using the harmonics and therefore has the signal more easily detected from the noise. A specific form of higher order spectrum other than the traditional bispectrum or trispectrum is proposed to improve the reliability of the fundamental frequency estimation for unknown, periodic non-sinusoidal signals. The results of applying the proposed method to weak, high noise signals are surprisingly good. The performances of the various techniques are visually, quantitatively and statistically compared for some signals with different signal-to-noise ratios
  • Keywords
    frequency estimation; noise; signal processing; spectral analysis; fundamental frequency estimation; harmonics; higher order spectrum; periodic nonsinusoidal signals; reliability; signal-to-noise ratios; weak high noise signals; Fingerprint recognition; Frequency estimation; Gabor filters; Power harmonic filters; Power system harmonics; Signal detection; Signal generators; Signal processing; Signal to noise ratio; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-6293-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2000.861934
  • Filename
    861934