Abstract
AbstractIn this paper, we develop a fast regularized structured total least squares (RSTLS) algorithm for solving the basic deconvolution problem. The algorithm is based on a particular implementation of the generalized Schur algorithm. We apply the new algorithm on a deconvolution problem arising in a medical application in renography. By means of this example, we show that regularization in the structured total least squares framework yields more accurate results compared to other estimators. Copyright © 2004 John Wiley & Sons, Ltd.
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