• DocumentCode
    768278
  • Title

    Orthogonal, exactly periodic subspace decomposition

  • Author

    Muresan, D. Darian ; Parks, Thomas W.

  • Author_Institution
    Digital Multi-Media Design, Arlington, VA, USA
  • Volume
    51
  • Issue
    9
  • fYear
    2003
  • Firstpage
    2270
  • Lastpage
    2279
  • Abstract
    The detection and estimation of machine vibration multiperiodic signals of unknown periods in white Gaussian noise is investigated. New estimates for the subsignals (signals making up the received signal) and their periods are derived using an orthogonal subspace decomposition approach. The concept of exactly periodic signals is introduced. This in turn simplifies and enhances the understanding of periodic signals.
  • Keywords
    Gaussian noise; acoustic signal detection; parameter estimation; vibration measurement; white noise; General Motors gear box; exactly periodic signals; exactly periodic subspace decomposition; machine vibration multiperiodic signals; multiperiodic signal detection; multiperiodic signal estimation; orthogonal subspace decomposition; received signal; signal processing; subsignals; synthetic signals; vibration data signals; white Gaussian noise; Filters; Gaussian noise; Helium; Interference; Matrices; Rhythm; Signal analysis; Signal processing; Signal processing algorithms; Signal resolution;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2003.815381
  • Filename
    1223539