通过使用过滤正弦曲线的样本来突破奈奎斯特极限

M. H. El-Shafey
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引用次数: 5

摘要

估计一个信号中若干正弦波的频率。结果表明,通过将信号x(t)通过连续时间滤波器f(s)得到滤波后的信号xit),我们可以从矩阵乘积my'的特征值中得到所需的频率fi-,其中x和x分别由x和x)的样本形成。本文的结果推广了作者以前的工作,其中xf是x的导数(或积分),即滤波器是微分(或积分)。使用连续滤波器代替微分器/积分器有两个优点:1 .减轻了设计微分器/积分器的实际问题;2 .在设计滤波器时具有一定的自由度,以便可能衰减信号中的噪声,特别是当噪声频谱在感兴趣的频带之外时。
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Beating the nyquist limit by utilizing samples of filtered sinisoids
Estimating the frequencies of a number of sinusoids in a signal is considered. It is shown that by passing the signal x(t) through a continuous-time filter f(s) to obtain the filtered signal xit), we can obtain the required frequencies fi-om the eigenvalues of the matrix product my', where X and X, are formed from samples of x and x) respectivel., The result of this paper is a generalization of previous work by the author where xf was the derivative (or integration) of x, i.e. the filter was a differentiator (or integrator). There are two positive points for using a continuous filter instead of a differentiator/integrator: 1relaxing the practical concerns of designing the differentiator/integrator, and 2having some freedom in designing the filter so that attenuation of the noise in the signal is possible especially if the noise spectrum is outside the band of frequencies of interest.
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