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Enhanced gram-schmidt process for improving the stability in signal and image processing

By:

Mastriani, Mario

Contributor(s):

Naiouf, Ricardo Marcelo

Material type: Article

ArticleDescription: 1 archivo (131,1 KB)Subject(s):

PROCESAMIENTO DE IMÁGENES

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Summary: 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.

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Item type	Home library	Collection	Call number	URL	Status	Date due	Barcode
Capítulo de libro	Biblioteca de la Facultad de Informática	Biblioteca digital	A0438 (Browse shelf(Opens below))	Link to resource	Recurso en Línea

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Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)

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.

International Journal of Mathematical, Computational, Physical and Quantum Engineering, 7(3), pp. 342-346