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Parameter selection in periodic nonuniform sampling of multiband signals

机译:多频带信号周期性非均匀采样中的参数选择

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Periodic nonuniform sampling has been considered in literature as an effective approach to reduce the sampling rate far below the Nyquist rate for sparse spectrum multiband signals. In the presence of non-ideality the sampling parameters play an important role on the quality of reconstructed signal. Also the average sampling ratio is directly dependent on the sampling parameters that they should be chosen for a minimum rate and complexity. In this paper we consider the effect of sampling parameters on the reconstruction error and the sampling ratio and suggest feasible approaches for achieving an optimal sampling and reconstruction.
机译:在文献中,周期性的非均匀采样被认为是一种有效的方法,可以将采样率降低到远低于稀疏频谱多频带信号的奈奎斯特速率。在不理想的情况下,采样参数对重构信号的质量起着重要作用。同样,平均采样率直接取决于应该为最小速率和复杂度选择采样参数。在本文中,我们考虑了采样参数对重构误差和采样率的影响,并提出了实现最佳采样和重构的可行方法。

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