Redundant wavelet filter banks on the half-axis with applications to signal denoising with small delays

François Chaplais (1) , Panagiotis Tsiotras (2) , Dongwon Jung (2)

1 CAS - Centre Automatique et Systèmes
2 GA TECH - Daniel Guggenheim School of Aerospace Engineering

A wavelet transform on the negative half real axis is developed using an average-interpolation scheme. This transform is redundant and can be used to perform causal wavelet processing, such as signal denoising, without delay. Nonetheless, in practice some boundary effects occur and thus a small amount of delay is required to reduce them. The theory is implemented on a challenging signal with large noise and sharp transients. Results from the experimental implementation of the proposed algorithm for the denoising of a feedback signal for controlling a three-phase permanent-magnet synchronous brushless DC motor are also presented.

Domaines: Automatique / Robotique

François Chaplais, Panagiotis Tsiotras, Dongwon Jung. Redundant wavelet filter banks on the half-axis with applications to signal denoising with small delays. 43rd Conference on Decision and Control, Dec 2004, United States. pp.3102 - 3108. ⟨hal-00501855⟩