Eur. Phys. J. AP
Volume 20, Number 2, November 2002
Instrumentation Interdisciplinary Colloque (C2I 2001)
|Page(s)||135 - 140|
|Section||Instrumentation and Metrology|
|Published online||25 October 2002|
Classical low-pass filter and real-time wavelet-based denoising technique implemented on a DSP: a comparison study*
Groupe de Recherche en Informatique, Image et Instrumentation de Caen (CNRS UMR 6072),
ISMRA et Université de Caen, 6 Bd du Maréchal Juin, 14050 Caen Cedex, France
Corresponding author: C.Dolabdjian@greyc.ismra.fr
Accepted: 8 January 2002
Published online: 25 October 2002
We have implemented a real-time numerical denoising algorithm, using the Discrete Wavelet Transform (DWT), on a TMS320C3x Digital Signal Processor (DSP). We also compared from a theoretical and practical viewpoints this post-processing approach to a more classical low-pass filter. This comparison was carried out using an ECG-type signal (ElectroCardiogram). The denoising approach is an elegant and extremely fast alternative to the classical linear filters class. It is particularly adapted to non-stationary signals such as those encountered in biological applications. The denoising allows to substantially improve detection of such signals over Fourier-based techniques. This processing step is a vital element in our acquisition chain using high sensitivity magnetic sensors. It should enhance detection of cardiac-type magnetic signals or magnetic particles in movement.
PACS: 07.50.Qx – Signal processing electronics / 84.30.Vn – Filters
© EDP Sciences, 2002
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