Signal Recovery Using Splines

Abstract

Practically, for all real measuring devices the result of a measurement is a convolution of an input signal with a hardware function of a unit φ. We call a spline to be φ-interpolating if the convolution of an input signal with a hardware function of a unit φ coincides with the convolution of the spline with the hardware function. In the following article we consider conditions imposed on the hardware function φ under which a second- and third-order φ-interpolating spline exists and is unique. Algorithms of φ-interpolating splines construction are written out.

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