
SVD AND SIGNAL PROCESSING, III
Algorithms, Architectures and Applications
M. Moonen and B. De Moor (Editors)
9 1995 Elsevier Science B.V. All rights reserved.
341
SVD FOR LINEAR INVERSE PROBLEMS
M. BERTERO
University of Genoa, Department of Physics
Via Dodecaneso, 33
16146 Genova, Italy
bertero @ge nova. in fn. it
C. DE MOL
University of Brussels, Department of Mathematics
Campus Plaine C.P.217, Bd du Triomphe
1050 Brussels, Belgium
demol@ulb.ac.be
ABSTRACT. Singular Value Decompositions have proved very useful in getting efficient
solvers for linear inverse problems. Regularized solutions can be computed