%0 Journal Article %A Mario Mastriani and Marcelo Naiouf %D 2013 %J International Journal of Mathematical and Computational Sciences %B World Academy of Science, Engineering and Technology %I Open Science Index 75, 2013 %T Enhanced Gram-Schmidt Process for Improving the Stability in Signal and Image Processing %U https://publications.waset.org/pdf/17010 %V 75 %X The Gram-Schmidt Process (GSP) is used to convert a non-orthogonal basis (a set of linearly independent vectors) into an orthonormal basis (a set of orthogonal, unit-length vectors). The process consists of taking each vector and then subtracting the elements in common with the previous vectors. This paper introduces an Enhanced version of the Gram-Schmidt Process (EGSP) with inverse, which is useful for signal and image processing applications. %P 525 - 529