Classical low-pass filter and real-time wavelet-based denoising technique implemented on a DSP: a comparison study Comparison of Low-pass Filter and Real-time Wavelet-based Denoising
Résumé
We have implemented a real-time numerical denoising algorithm, using the Discrete Wavelet Transform (DW T), 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.
Domaines
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