International Journal of Mathematics and Mathematical Sciences
Volume 2004 (2004), Issue 33-36, Pages 1843-1853
doi:10.1155/S0161171204302061

Backward adaptive biorthogonalization

L. Rebollo-Neira

Neural Computing Research Group, Aston University, Birmingham B4 7ET, UK

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.