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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Noise reduction for Doppler ultrasound signal based on the adapted local cosine transform and the garrote thresholding method
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Noise reduction for Doppler ultrasound signal based on the adapted local cosine transform and the garrote thresholding method

机译：基于自适应局部余弦变换和伽罗特阈值法的多普勒超声信号降噪

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摘要

In this paper, a novel approach, using the adapted local cosine transform combined with the non-negative garrote thresholding, is proposed to remove noise from the Doppler ultrasound signal. In the proposed approach, the local cosine transform is first performed on the signal of interest followed by a search algorithm to select the best basis. Then the coefficients of the obtained best basis are thresholded based on the non-negative garrote thresholding method. By means of the thresholded coefficients of the best basis, the signal is reconstructed. In the simulation study, the estimation precisions of the mean frequency waveform and the spectral width waveform are studied for the signal after denoising. The simulation and clinical results have shown that the proposed approach is superior to ones based on the wavelet transform, especially under low signal-to-noise ratio (SNH) circumstances.
机译：在本文中，提出了一种新方法，该方法将自适应局部余弦变换与非负Garrote阈值相结合，以消除多普勒超声信号中的噪声。在提出的方法中，首先对感兴趣的信号执行局部余弦变换，然后通过搜索算法选择最佳基础。然后，基于非负Garrote阈值化方法对获得的最佳基础的系数进行阈值化。借助于最佳基础的阈值系数，可以重建信号。在仿真研究中，研究了去噪后信号的平均频率波形和频谱宽度波形的估计精度。仿真和临床结果表明，该方法优于基于小波变换的方法，特别是在低信噪比（SNH）情况下。

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