ECG denoising with adaptive bionic wavelet transform
O Sayadi, MB Shamsollahi - 2006 International Conference of …, 2006 - ieeexplore.ieee.org
In this paper a new ECG denoising scheme is proposed using a novel adaptive wavelet
transform, named bionic wavelet transform (BWT), which had been first developed based on
a model of the active auditory system. There has been some outstanding features with the
BWT such as nonlinearity, high sensitivity and frequency selectivity, concentrated energy
distribution and its ability to reconstruct signal via inverse transform but the most
distinguishing characteristic of BWT is that its resolution in the time–frequency domain can …
transform, named bionic wavelet transform (BWT), which had been first developed based on
a model of the active auditory system. There has been some outstanding features with the
BWT such as nonlinearity, high sensitivity and frequency selectivity, concentrated energy
distribution and its ability to reconstruct signal via inverse transform but the most
distinguishing characteristic of BWT is that its resolution in the time–frequency domain can …
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