International Journal of Mathematics and Mathematical Sciences
Volume 2004 (2004), Issue 35, Pages 1843-1853
doi:10.1155/S0161171204302061
Abstract
A backward biorthogonalization approach is proposed, which
modifies biorthogonal functions so as to generate orthogonal
projections onto a reduced subspace. The technique is relevant to
problems amenable to be represented by a general linear model. In
particular, problems of data compression, noise reduction, and
sparse representations may be tackled by the proposed approach.