TITLE:
Linear Prolate Functions for Signal Extrapolation with Time Shift
AUTHORS:
Daniela Valente, Michael Cada, Jacek Ilow
KEYWORDS:
Real-Valued Band Limited Eigenvectors, Signal Decomposition, Signal Extrapolation
JOURNAL NAME:
Applied Mathematics,
Vol.8 No.4,
April
13,
2017
ABSTRACT: We propose a low complexity iterative algorithm for band limited signal extrapolation. The extrapolation method is based on the decomposition of finite segments of the signal via truncated series of real-valued linear prolate functions. Our theoretical derivation shows that given a truncated series (up to a selectable value) of prolate functions, it is possible to extrapolate the band limited function elsewhere if each extrapolated portion of the function is subject only to moderate truncation errors that we quantify in this paper. The effects of different sources of errors have been analyzed via extensive simulations. We have investigated a property of the signal decomposition formula based on linear prolate functions whereby the integration interval does not need to be symmetric with respect to the origin while time-shifted prolate functions are used in the series.