De-noising of high-resolution ECG signals by combining the discrete wavelet transform with the Wiener filter

In this study the authors applied a combination of the discrete wavelet transform and the Wiener filter to the noise-reduction of high-resolution ECG signals. The procedure is optimal in the least squares sense in that it separates a signal from additive noise. It was compared to a popular de-noising algorithm by Donoho (1993) on artificially generated signals and on a high-resolution ECG signal corrupted by noise.