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Time-domain aliasing and anti-aliasing effects in differentiating a band-unlimited signal

机译:区分带无限信号的时域混叠和抗混叠效果

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In this paper, we investigate time-domain errors occurring in the two extreme discrete-time differentiation modes of band-unlimited signals: in the full-band processing mode and in the processing mode with ideal anti-aliasing filtering (AAF) with a cut-off at the Nyquist frequency. We disclosed that regardless sampling frequency the error from AAF is greater than the aliasing error. It is found that type IV differentiators designed by three commonly known digital filter design methods approximately equally process the high frequency portion of the signal above the Nyquist frequency with nearly equal aliasing errors having a weak dependence on differentiator length. In contrast, the differentiators very differently compute the derivatives of the low frequency portion bellow the Nyquist frequency providing rather dissimilar the common differentiation accuracy. The results show that the differentiators derived by using maximal linearity constraints are more accurate than those designed by the Parks-McClellan algorithm and the impulse response truncation method.
机译:在本文中,我们研究了在带无限信号的两种极端离散时间微分模式下发生的时域误差:在全频带处理模式下以及在带有理想抗混叠滤波(AAF)的处理模式下进行的割-以奈奎斯特频率关闭。我们公开了不管采样频率如何,来自AAF的误差都大于混叠误差。可以发现,由三种众所周知的数字滤波器设计方法设计的IV型微分器几乎均等地处理了奈奎斯特频率以上的信号的高频部分,而混叠误差几乎相等,而对微分器长度的依赖性很小。相反,微分器计算奈奎斯特频率以下的低频部分的导数非常不同,从而提供了非常不同的通用微分精度。结果表明,使用最大线性约束条件导出的微分器比用Parks-McClellan算法和脉冲响应截断法设计的微分器更准确。

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