CONVEXLY CONSTRAINED LINEAR INVERSE PROBLEMS - ITERATIVE LEAST-SQUARES AND REGULARIZATION

Authors
SABHARWAL A POTTER LC
Citation
A. Sabharwal et Lc. Potter, CONVEXLY CONSTRAINED LINEAR INVERSE PROBLEMS - ITERATIVE LEAST-SQUARES AND REGULARIZATION, IEEE transactions on signal processing, 46(9), 1998, pp. 2345-2352
Citations number
33
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
IEEE transactions on signal processing → ACNP
ISSN journal
1053587X
Volume
46
Issue
9
Year of publication
1998
Pages
2345 - 2352
Database
ISI
SICI code
1053-587X(1998)46:9<2345:CCLIP->2.0.ZU;2-A
Abstract
In this paper, we consider robust inversion of linear operators with c onvex constraints. We present an iteration that converges to the minim um norm least squares solution; a stopping rule is shown to regularize the constrained inversion, A constrained Laplace inversion is compute d to illustrate the proposed algorithm.