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Exponential weighting algorithms for reconstruction of bandlimited signals

机译:重建带限信号的指数加权算法

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摘要

The problem of reconstruction of bandlimited signals from discrete, noisy observations is considered. Whittaker-Shannon interpolation series-based estimates involving the weighting factors are proposed. It is shown that they converge as the sampling rate increases to infinity. The rate of convergence of the double exponential weighting algorithm is established. These results are corroborated in computer simulations.
机译:考虑了从离散的,嘈杂的观察中重建带限信号的问题。提出了基于Whittaker-Shannon插值序列的估计,其中涉及加权因子。结果表明,随着采样率增加到无穷大,它们收敛。建立了双指数加权算法的收敛速度。这些结果在计算机仿真中得到了证实。

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