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.