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Denoising quadrature Doppler signals from bi-directional flow using the wavelet frame

机译:使用小波帧从双向流中去除正交多普勒信号

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A novel approach was proposed to denoise quadrature Doppler signals from bi-directional blood flow using the wavelet frame and a soft-thresholding algorithm. A direction separation step was carried out first to avoid the phase distortion of quadrature Doppler signals, which is induced from the nonlinear, soft-thresholding processing. Then real parts of separated complex signals from the unidirectional flow were denoised independently. The quadrature Doppler signals from the bi-directional flow were reconstructed from the denoised separated signals. The approach has been applied to the simulated Doppler signals from a femoral artery. It is concluded from the experimental results that this method is practical for denoising quadrature Doppler signals.
机译:提出了一种使用小波框架和软阈值算法从双向血流中去除正交多普勒信号的新方法。首先执行方向分离步骤,以避免非线性多阈值处理引起的正交多普勒信号的相位失真。然后,将来自单向流的分离的复信号的实部分别进行消噪。从去噪后的分离信号中重建了来自双向流的正交多普勒信号。该方法已应用于来自股动脉的模拟多普勒信号。从实验结果可以得出结论,该方法对正交多普勒信号的去噪是可行的。

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