Regularization by Truncated Total Least Squares
SIAM Journal on Scientific Computing
Rank-deficient and discrete ill-posed problems: numerical aspects of linear inversion
Rank-deficient and discrete ill-posed problems: numerical aspects of linear inversion
Tikhonov Regularization and Total Least Squares
SIAM Journal on Matrix Analysis and Applications
Blind Deconvolution Using a Regularized Structured Total Least Norm Algorithm
SIAM Journal on Matrix Analysis and Applications
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We continue the spectroscopy problem from the last issue, trying to reconstruct a true spectrum from an observed one. Again, we'll use blind deconvolution, but this time we'll impose some constraints on the error matrix E, leading to a more difficult problem to solve but often a more useful reconstruction.