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

    TítuloNovel HW architecture based on FPGAs oriented to solve the eigen problem
    Tipo de publicaciónJournal Article
    Año de publicación2008
    AutoresBravo, I, Mazo, M, Lazaro, JL, Jimenez, P, Gardel, A, Marron, M
    Idioma de publicaciónEnglish
    Revista académicaIEEE Transactions on very large scale integration (VLSI) systems
    Volumen16
    Número12
    Páginas1722-1725
    Fecha de publicación12/2008
    Lugar de publicaciónEstados Unidos
    EditorialIEEE
    Rank in category121/246
    JCR CategoryENGINEERING, ELECTRICAL & ELECTRONIC
    Palabras claveCORDIC, eigenvalue, eigenvector, field-programmable gate array (FPGA)
    JCR Impact Factor1.010
    ISSN1063-8210
    URLhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4668632&isnumber=4668626
    DOI10.1109/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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