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

Título:

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

Autor:

Mastriani, Mario

Colaboradores:

; Naiouf, Ricardo Marcelo

Temas:

PROCESAMIENTO DE IMÁGENES

En:

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

Resumen:

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.

URL/DOI:

http://goo.gl/uWNM96

Medio:

Soporte electrónico

Tipo de documento:

Artículo

Descripción física:

1 archivo (131,1 KB)

Idioma:

Inglés

Publicación:

WASET, 2013

Puede solicitar más fácilmente el ejemplar con: A0438

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