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

Auteurs: Chaplais, F. Tsiotras, P. Dongwon Jung, 43rd Conference on Decision and Control, Vol. 3, pp. 3102 - 3108, 14-17 Dec. 2004, Atlantis, Paradise Island, Bahamas DOI: 10.1109/CDC.2004.1428943
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.
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BibTeX:
@Proceedings{,
author = {Chaplais, F. Tsiotras, P. Dongwon Jung},
editor = {},
title = {Redundant wavelet filter banks on the half-axis with applications to signal denoising with small delays},
booktitle = {43rd Conference on Decision and Control},
volume = {3},
publisher = {},
address = {Atlantis, Paradise Island, Bahamas},
pages = {3102 - 3108},
year = {2004},
abstract = {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.},
keywords = {Channel bank filters, Delay effects, Discrete wavelet transforms, Finite impulse response filter, Noise reduction, Propagation delay, Signal denoising, Signal resolution, Wavelet coefficients, Wavelet transforms}}