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Chapter 14 / Case Study: Blind Deconvolution: Errors, Errors Everywhere

Published in Society for Industrial and Applied Mathematics eBooks • Jan 1, 2009
NobleIDNI2P39W70R03S69
Authors:
Dianne P. O’Leary

Abstract

We focus in this case study on a class of methods that accounts for uncertainty in the model as well as the data. Our example concerns spectroscopy, where we try to reconstruct a true spectrum from an observed one. The problem we are considering is sometimes called blind deconvolution, since we are ...

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