Analysis of singularities by short haar wavelet transform

  • Authors:
  • Armando Ciancio;Carlo Cattani

  • Affiliations:
  • Dip. di Matematica, Univ. di Messina, Messina, Italy;DiFarma, Università di Salerno, Fisciano (SA)

  • Venue:
  • ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
  • Year:
  • 2006

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Abstract

Wavelets give significant information on the evolution of a time series. In particular, due to their localization properties the significant local changes in observed data (both in time and in frequency) can be easily detected by a limited set of their corresponding wavelet coefficients. Some examples will be given, in the following, showing the effectiveness of this method.