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Kalman filtering of fractal stochastic signals based on wavelet transform

  • Juan Zhao
  • , Hong Ma
  • , Zhi Sheng You
  • , Umeda Michio
  • Sichuan University

Research output: Contribution to journalArticlepeer-review

Abstract

A filter bank design based on orthonormal wavelets and equipped with a multiscale Kalman filter is recently proposed for estimating fractal Brownian motion in additive Gaussian white noise. We give the corresponding parameters of the dynamic system and more accurate estimation algorithm. Comparisons between Wiener and Kalman filters are given. Typical computer simulation results demonstrate its feasibility and effectiveness.

Original languageEnglish
Pages (from-to)1157-1160
Number of pages4
JournalTien Tzu Hsueh Pao/Acta Electronica Sinica
Volume29
Issue number9
Publication statusPublished - Sept 2001
Externally publishedYes

Keywords

  • 1/f processes
  • Fractal stochastic signal
  • Fractional Brownian motion
  • Kalman filtering
  • Wavelet transform

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