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Robust prediction of band-limited signals from past samples (Corresp.)
Abstract:For a complex-valued deterministic signal of finite energy band-limited to the normalized frequency band|w| leq piexplicit coefficients{a_{kn}}are found such that for anyTsatisfying0 < T leq 1/2,left| f(t)-sum^{2n}_{k=1}a_{kn}f(t - kT)right| leq E_{f}cdot beta^{n}whereE_{f}is the signal energy andbeta doteq 0.6863. Thus the estimate off(t)in terms of2npast samples taken at a rate equal to or in excess of twice the Nyquist rate converges uniformly at a geometric rate tof(t)on(- infty , infty). The suboptimal coefficients{a_{kn}}have the desirable property of being pure numbers independent of both the particular band-limited signal and of the selected sampling rate1/T. It is also shown that these same coefficients can be used to estimate the value ofx(t)of a wide-sense stationary random process in terms of past samples.
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