• DocumentCode
    1318429
  • Title

    Beyond the Fourier Transform: Signal Symmetry Breaking in the Complex Plane

  • Author

    Perotti, L. ; Vrinceanu, D. ; Bessis, D.

  • Author_Institution
    Dept. of Phys., Texas Southern Univ., Houston, TX, USA
  • Volume
    19
  • Issue
    12
  • fYear
    2012
  • Firstpage
    865
  • Lastpage
    867
  • Abstract
    In this letter, we invert the ordinary point of view in the analysis of noisy data by treating the signal as a perturbation of the noise. The generating function of pure noise is represented, in the Complex Plane, by poles and zeros (Froissart doublets) having a universal, isotropic statistical distribution. The presence of a signal breaks this rotational symmetry. This allows to detect signals deeply embedded in noise that traditional methods cannot reach.
  • Keywords
    Fourier transforms; signal processing; statistical analysis; Fourier transform; Froissart doublets; complex plane; noisy data analysis; perturbation; poles and zeros; signal symmetry breaking; universal isotropic statistical distribution; Approximation methods; Fourier transforms; Noise; Oscillators; Poles and zeros; Statistical distributions; Time series analysis; Data analysis; noise; statistical distribution;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2012.2224864
  • Filename
    6330990