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 language | English |
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Pages (from-to) | 1157-1160 |
Number of pages | 4 |
Journal | Tien Tzu Hsueh Pao/Acta Electronica Sinica |
Volume | 29 |
Issue number | 9 |
Publication status | Published - Sept 2001 |
Externally published | Yes |
Keywords
- 1/f processes
- Fractal stochastic signal
- Fractional Brownian motion
- Kalman filtering
- Wavelet transform