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Fast wavelet estimation of weak bio-signals using novel algorithms for generating multiple additional data frames
Fast wavelet estimation of weak bio-signals using novel algorithms for generating multiple additional data frames
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机译:使用新颖算法生成多个附加数据帧的弱生物信号快速小波估计
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摘要
A method and apparatus for de-noising weak bio-signals having a relatively low signal to noise ratio utilizes an iterative process of wavelet de-noising a data set comprised of a new set of frames of wavelet coefficients partially generated through a cyclic shift algorithm. The method preferably operates on a data set having 2N frames, and the iteration is performed N−1 times. The resultant wavelet coefficients are then linearly averaged and an inverse discrete wavelet transform is performed to arrive at the de-noised original signal. The method is preferably carried out in a digital processor.
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机译:一种用于对具有相对较低信噪比的弱生物信号进行去噪的方法和设备,其利用小波的迭代过程对数据集进行去噪,该数据集包括部分通过循环移位算法生成的新的小波系数帧集。该方法优选地在具有2 N Sup>帧的数据集上操作,并且迭代被执行N-1次。然后,对所得的小波系数进行线性平均,并执行逆离散小波变换,以获取经过降噪的原始信号。该方法优选地在数字处理器中执行。
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