Deconvolution of Experimental Data

Abstract

We propose a method of deconvolution based upon the sampling theorem. Interlaced samples are used to find the sampled values at the zeros of the transfer function. The space–bandwidth product is used to determine how many independent samples are required to find the required object g(x). The technique eliminates so-called invisible solutions, and gives a unique solution in the absence of noise.