• DocumentCode
    3087211
  • Title

    Subsampling-based method for testing Cyclostationarity: Application to biomechanical signals

  • Author

    Maiz, S. ; El Badaoui, M. ; Leskow, Jacek ; Serviere, C.

  • Author_Institution
    Univ. of Lyon, St. Etienne, France
  • fYear
    2013
  • fDate
    12-15 May 2013
  • Firstpage
    273
  • Lastpage
    278
  • Abstract
    In last decades, a well-studied characteristic of signals called Cyclostationarity (CS) has provided very important survey, highlighting the impact of CS models on signal analysis in telecommunication, mechanical, acoustic, biomechanical and econometric signals. It is a technique that offers diagnostic advantages for the analysis of failures, faults and disturbances which are related to a system being examined. The aim of this paper is to introduce the concept of CS for signals and to present possibilities of statistical resampling procedures available for such signals. The resampling method treated in this paper is referred to as Subsampling. A description of this method is presented and its applicability to CS simulated and real data is proved. This implies, in particular, that statistical CS analysis can be carried out without the assumption of Gaussianity on the CS process under consideration.
  • Keywords
    biomechanics; mechanical engineering computing; signal sampling; statistical analysis; CS model; acoustic signal; biomechanical signal; biomechanical signals; cyclostationarity testing; econometric signal; failure analysis; mechanical signal; resampling method; signal analysis; statistical CS analysis; statistical resampling procedure; subsampling-based method; telecommunication signal; Biological system modeling; Biomechanics; Educational institutions; Estimation; Fatigue; Testing; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signal Processing and their Applications (WoSSPA), 2013 8th International Workshop on
  • Conference_Location
    Algiers
  • Type

    conf

  • DOI
    10.1109/WoSSPA.2013.6602375
  • Filename
    6602375