Novel HW architecture based on FPGAs oriented to solve the eigen problem

Título	Novel HW architecture based on FPGAs oriented to solve the eigen problem
Tipo de publicación	Journal Article
Año de publicación	2008
Autores	Bravo, I, Mazo, M, Lazaro, JL, Jimenez, P, Gardel, A, Marron, M
Idioma de publicación	English
Revista académica	IEEE Transactions on very large scale integration (VLSI) systems
Volumen	16
Número	12
Páginas	1722-1725
Fecha de publicación	12/2008
Lugar de publicación	Estados Unidos
Editorial	IEEE
Rank in category	121/246
JCR Category	ENGINEERING, ELECTRICAL & ELECTRONIC
Palabras clave	CORDIC, eigenvalue, eigenvector, field-programmable gate array (FPGA)
JCR Impact Factor	1.010
ISSN	1063-8210
URL	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4668632&isnumber=4668626
DOI	10.1109/TVLSI.2008.2001939
Resumen	Abstract A hardware solution is presented to obtain the eigenvalues and eigenvectors of a real and symmetrical matrix using field-programmable gate arrays (FPGAs). Currently, this system is used to compute the eigenvalues and eigenvectors in covariance matrices for applications in digital image processing that make use of the principal component analysis (PCA) technique. The proposed solution in this paper is based on the Jacobi method, but in comparison with other related works, it presents a different architecture that remarkably improves execution time, while reducing the number of consumed resources of the FPGA.
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