Deconvolution of Gaussian and Other Kernels
We consider the numerical solution of the convolution equation h * f = d for various nonnegative kernels h. Obviously, the Dirac measure is the easiest kernel to deconvolve. In a certain sense, there also exists a unique most difficult kernel to deconvolve, namely the Gaussian exp(−x2). A method for deconvolution of the Gaussian is suggested.
KeywordsDiscrete Fourier Transformation Generalize Inverse Dirac Measure Convolution Equation Deconvolution Problem
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