Noise reduction in chaotic signals by using Wiener and Kalman filtering methods

ÇEK M. E., Oral O., AKAY O.

IEEE 15th Signal Processing and Communications Applications Conference, Eskişehir, Turkey, 11 - 13 June 2007, pp.865-866 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2007.4298691
  • City: Eskişehir
  • Country: Turkey
  • Page Numbers: pp.865-866
  • Dokuz Eylül University Affiliated: Yes

Abstract

In this paper, the additive white noise was filtered from chaotic signals obtained by Logistic map by using Wiener, Extended and Unscented Kalman filters, respectively. Performances of each method were compared by finding mean square error versus signal to noise ratio (SNR) and correlation dimension which is one of the invariants of the chaotic dynamical systems. It was observed that, each method exhibits different MSE performances depending on the particular signal to noise ratio.