<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/17010" mdate="2013-09-06 00:00:00"> <author>Mario Mastriani and Marcelo Naiouf</author> <title>Enhanced GramSchmidt Process for Improving the Stability in Signal and Image Processing</title> <pages>525 - 529</pages> <year>2013</year> <volume>7</volume> <number>3</number> <journal>International Journal of Mathematical and Computational Sciences</journal> <ee>https://publications.waset.org/pdf/17010</ee> <url>https://publications.waset.org/vol/75</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>The GramSchmidt Process (GSP) is used to convert a nonorthogonal basis (a set of linearly independent vectors) into an orthonormal basis (a set of orthogonal, unitlength 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 GramSchmidt Process (EGSP) with inverse, which is useful for signal and image processing applications. </abstract> <index>Open Science Index 75, 2013</index> </article>