@article{(Open Science Index):https://publications.waset.org/pdf/17010,
	  title     = {Enhanced Gram-Schmidt Process for Improving the Stability in Signal and Image Processing},
	  author    = {Mario Mastriani and  Marcelo Naiouf},
	  country	= {},
	  institution	= {},
	  abstract     = {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.
},
	    journal   = {International Journal of Mathematical and Computational Sciences},
	  volume    = {7},
	  number    = {3},
	  year      = {2013},
	  pages     = {525 - 529},
	  ee        = {https://publications.waset.org/pdf/17010},
	  url   	= {https://publications.waset.org/vol/75},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 75, 2013},
	}