• DocumentCode
    2507318
  • Title

    On the recurrence plot analysis method behaviour under scaling transform

  • Author

    Birleanu, F.-M. ; Ioana, C. ; Gervaise, C. ; Chanussot, J. ; Serbanescu, A. ; Serban, G.

  • Author_Institution
    GIPSA-Lab., Grenoble Inst. of Technol., Grenoble, France
  • fYear
    2011
  • fDate
    28-30 June 2011
  • Firstpage
    789
  • Lastpage
    792
  • Abstract
    In the last decade, the applications of the recurrence plot analysis method make it a valuable alternative to the time-frequency and time-scale tools. As it was initially developed for the study of dynamical systems, and was later used in nonlinear time series analysis, the question of using it as a signal processing tool has not been put into discussion yet. In this field the projective techniques are largely used, with good results. Nevertheless, they also have some limitations - especially regarding transient signal processing. But this kind of signals are ubiquitous in real world. In addition, propagation through various media as well as on multiple paths lead to delayed, attenuated and dilated versions of the original transients. In this paper we study the behaviour of the recurrence plot analysis method in the context of analyzing some finite duration signals being subject to rescalings of the amplitude and time axes. This study is a starting point in employing the analysis of recurrences in investigations of a large class of real world signals.
  • Keywords
    signal processing; time series; transforms; dynamical systems; finite duration signal analysis; nonlinear time series analysis; projective techniques; recurrence plot analysis method behaviour; scaling transform; time-frequency analysis; time-scale tools; transient signal processing; Delay effects; Extraterrestrial measurements; Shape; Signal processing; Time series analysis; Trajectory; Transient analysis; Transient signals; amplitude and time scaling; recurrence plots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing Workshop (SSP), 2011 IEEE
  • Conference_Location
    Nice
  • ISSN
    pending
  • Print_ISBN
    978-1-4577-0569-4
  • Type

    conf

  • DOI
    10.1109/SSP.2011.5967823
  • Filename
    5967823