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ECG-signal-denoising

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  • Update : 2016-12-23
  • Size : 854kb
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  • Author :k*****
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In ECG signal processing, in order to avoid the phenomena of Gibbs oscillation and severe frequency aliasing,a new ECG signal denoising algorithm is presented,which is based on dual-tree complex wavelet transform and combined with the maximum a posteriori estimation to determine the threshold. The signal-to-noise ratio and mean square error are used to uate the denoising effects of the dual-tree complex wavelet transform and discrete wavelet transform. The experimental result shows that compared with traditional discrete wavelet transform, the dual-tree complex wavelet transform reduces noise more thoroughly and retains boundary and texture characteristics better. The dualtree complex wavelet transform can be used as a new denoising method for biomedical signal denoising processing.
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ECG signal denoising.pdf
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