• DocumentCode
    1174491
  • Title

    Higher order crossings spectral analysis of an almost periodic random sequence in noise

  • Author

    He, Shuyuan ; Kedem, Benjamin

  • Author_Institution
    Dept. of Math., Maryland Univ., College Park, MD, USA
  • Volume
    35
  • Issue
    2
  • fYear
    1989
  • fDate
    3/1/1989 12:00:00 AM
  • Firstpage
    360
  • Lastpage
    370
  • Abstract
    The precise effect of noise on HOC (higher-order crossing) sequences is examined, settling some issues not dealt with previously. It is shown that it is possible to construct HOC sequences that converge to true discrete frequencies in a mixed spectrum even for very low signal-to-noise ratios. The availability of the correlation function is then assumed. When the expected HOCs (from repeated differences) are known, the correlation function is automatically known as well. However, other quantities, not just the expected HOC, can serve the same purpose. For example, under the Gaussian assumption, the correlation function can be obtained from that of the binary process derived by clipping the original process at any level
  • Keywords
    correlation methods; information theory; random noise; spectral analysis; correlation function; higher order crossing sequences; noise; periodic random sequence; signal-to-noise ratios; spectral analysis; Colored noise; Convergence; Equations; Filtering; Frequency; Helium; Power harmonic filters; Random sequences; Signal to noise ratio; Spectral analysis;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.32130
  • Filename
    32130