Iterative deconvolution of smeared data functions

An improved iterative deconvolution procedure is described which involves convolution of an assumed function, which represents the imperfectly known result, with the instrument function and operation on the differences between the convoluted function and the observed data function. Its advantage over the simple Fourier-Stokes treatment lies in improved resolution, its capability to handle functions with discontinuities in the function or in its derivative, and the possibility of using a variable instrument function.