• DocumentCode
    507736
  • Title

    A Parallel Independent Component Implement Based on Field-Programmable-Gate-Array

  • Author

    Wang, Jing Hui ; Zhao, Yuan Chao

  • Author_Institution
    Tianjin Key Lab. of Intell. Comput. & Novel Software Technol., Tianjin Univ. of Technol., Tianjin, China
  • Volume
    2
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    500
  • Lastpage
    503
  • Abstract
    The independent component analysis (ICA) algorithm has been extensively investigated in its theory, implementation and applications. Up to now, there have many algorithms about ICA. The ICA algorithms can be roughly categorized as gradient-based, the second order gradient-based and diagonalization-based, etc. ICA algorithm requires a huge number of calculations. Our work wants to solve these limitations by increasing the computational speed. On a way of increasing the computational speed is using multiple IP cores work together for a single problem. In the paper, we designed parallel ICA IP core and completed the parallel ICA algorithm modules on Altera Stratix II GX devices.
  • Keywords
    blind source separation; field programmable gate arrays; gradient methods; independent component analysis; parallel algorithms; Altera Stratix II GX devices; diagonalization algorithm; field-programmable-gate-array; independent component analysis algorithm; parallel ICA IP core; parallel ICA algorithm module; parallel independent component; second order gradient algorithm; Algorithm design and analysis; Application software; Blind source separation; Concurrent computing; Covariance matrix; Independent component analysis; Laboratories; Signal processing algorithms; Software algorithms; Vectors; FPGA; ICA; IP core; algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.644
  • Filename
    5362714