• DocumentCode
    3659509
  • Title

    VLSI architecture of exponential block for non-linear SVM classification

  • Author

    Shradha Gupta;Sumeet Saurav;Sanjay Singh;Anil K Saini;Ravi Saini

  • Author_Institution
    AIM &
  • fYear
    2015
  • Firstpage
    528
  • Lastpage
    532
  • Abstract
    In this work, we present a dedicated hardware implementation of exponential function computation unit using CORDIC (Coordinate Rotation Digital Computer) algorithm for extended range of input arguments. Hardware architecture design is done keeping in view its possible integration in the hardware implementation of the Radial Basis Function (RBF) based Support Vector Machine (SVM) classifier. The designed architecture is prototyped on a field programmable gate array (FPGA) to meet the specific requirement of performance. The proposed design is operating at a maximum clock frequency of 249 MHz. This shows good performance of our proposed architecture in terms of speed. Synthesis result also reveals that the proposed architecture is resource efficient.
  • Keywords
    "Computer architecture","Hardware","Algorithm design and analysis","Radiation detectors","Signal processing algorithms","Clocks","Support vector machines"
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on
  • Print_ISBN
    978-1-4799-8790-0
  • Type

    conf

  • DOI
    10.1109/ICACCI.2015.7275662
  • Filename
    7275662