%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