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- 2016-12-23
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- kiel
Description: 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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