• DocumentCode
    1983069
  • Title

    Implementation of blind source separation for multi-input

  • Author

    Oliva-Moreno, L. Noe ; Arce, Miguel A Aleman ; García-Lamont, Jair ; Moreno, José A.

  • Author_Institution
    Dept. of Electr. Eng., ESCOM-IPN, Mexico City
  • fYear
    2008
  • fDate
    12-14 Nov. 2008
  • Firstpage
    470
  • Lastpage
    474
  • Abstract
    The present work shows, implementation of neural ICA algorithms with multiple inputs using VHDL Design in a Field Programmable Gate Array (FPGA). We designed an architecture modular using INFOMAX algorithm in order to add n inputs for audio signals. Some simulations results using VHDL are presented using music and voice recorded. The study of performance is made in a net 2times2 and also a net of 3times3.
  • Keywords
    blind source separation; field programmable gate arrays; hardware description languages; logic design; FPGA; ICA algorithms; INFOMAX algorithm; VHDL design; blind source separation; field programmable gate array; Algorithm design and analysis; Automatic control; Blind source separation; Entropy; Field programmable gate arrays; Independent component analysis; Mutual information; Neural networks; Signal processing algorithms; Source separation; BSS; FPGA; ICA; INFOMAX;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering, Computing Science and Automatic Control, 2008. CCE 2008. 5th International Conference on
  • Conference_Location
    Mexico City
  • Print_ISBN
    978-1-4244-2498-6
  • Electronic_ISBN
    978-1-4244-2499-3
  • Type

    conf

  • DOI
    10.1109/ICEEE.2008.4723462
  • Filename
    4723462
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1983069