Name
Title | ||
|---|---|---|
Fast regularized structured total least squares algorithm for solving the basic deconvolution problem |
Abstract | ||
|---|---|---|
In 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 (c) 2004 John Wiley & Sons, Ltd. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1002/nla.413 | NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS |
Keywords | Field | DocType |
deconvolution,structured total least squares,displacement rank,structured total least norm,generalized Schur algorithm,Tikhonov regularization,Toeplitz matrices | Tikhonov regularization,Least squares,Mathematical optimization,Algorithm,Deconvolution,Generalized least squares,Non-linear least squares,Total least squares,Mathematics | Journal |
Volume | Issue | ISSN |
12 | SP2-3 | 1070-5325 |
Citations | PageRank | References |
2 | 0.57 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| N. Mastronardi | 1 | 30 | 3.98 |
| Philippe Lemmerling | 2 | 131 | 22.31 |
| S. Van Huffel | 3 | 260 | 32.75 |