Abstract :
We continue the spectroscopy problem from the last issue, trying to reconstruct a true spectrum from an observed one. Again, we´ll use blind deconvolution, but this time we´ll impose some constraints on the error matrix E, leading to a more difficult problem to solve but often a more useful reconstruction.
Keywords :
deconvolution; error analysis; matrix algebra; spectroscopy; blind deconvolution; error matrix; spectroscopy problem; true spectrum reconstruction; Deconvolution; Differential equations; Least squares approximation; Least squares methods; Linear systems; Minimization methods; Size control; Spectroscopy; Vectors; homework; mathematical; spectrometers;
