• DocumentCode
    1796441
  • Title

    Signal processing with optically-inspired algorithms

  • Author

    Csaba, Gyorgy ; Papp, Adam ; Porod, Wolfgang

  • Author_Institution
    Center for Nano Sci. & Technol., Univ. of Notre Dame (NDnano), Notre Dame, IN, USA
  • fYear
    2014
  • fDate
    29-31 July 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    We introduce holographic (optically inspired) algorithms, which are suited for implementation on massively parallel, locally interconnected arrays of nanoscale devices. This computing method is inspired by optical signal processing, but it neither relies on optical wave propagation nor optical hardware. We describe implementations on digital semiconductor circuitry and on magnetoelectronic devices.
  • Keywords
    holography; magnetoelectronics; optical computing; digital semiconductor circuitry; holographic algorithms; interconnected arrays; magnetoelectronic devices; nanoscale devices; optical signal processing; optically-inspired algorithms; Holographic optical components; Holography; Image reconstruction; Nonlinear optics; Optical signal processing; Pattern matching; Signal processing algorithms; Cellular Networks; Nanocomputing; Non-Boolean Computing; Optical computing; Pattern recognition; Spin waves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on
  • Conference_Location
    Notre Dame, IN
  • Type

    conf

  • DOI
    10.1109/CNNA.2014.6888663
  • Filename
    6888663