• DocumentCode
    1613574
  • Title

    Implementation of Artificial Neural Networks on FPGA for Adaptive Interference Canceling

  • Author

    Patwal, Akshay S. ; Prashanth, J. ; Girish, Bhat

  • Author_Institution
    Electrical & Electronics, R. V. College of Engineering, Bangalore, Karnataka, India
  • fYear
    2005
  • Firstpage
    310
  • Lastpage
    312
  • Abstract
    Noise Canceling is quite a difficult task to perform using fixed filters as noise varies randomly thereby generating the need for adaptive filtering. We have implemented Adaptive Interference (Noise) Canceling on Altera FPGA kit using Artificial Neural Networks to achieve noise cancellation satisfactorily. Certain modifications have been proposed to incorporate multiple noise canceling. Few applications have also been proposed for the algorithm stated
  • Keywords
    Adaptive filters; Artificial neural networks; Educational institutions; Field programmable gate arrays; Interference cancellation; Neurons; Noise cancellation; Noise generators; Power generation; Sensor phenomena and characterization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers, Communications, & Signal Processing with Special Track on Biomedical Engineering, 2005. CCSP 2005. 1st International Conference on
  • Conference_Location
    Kuala Lumpur, Malaysia
  • Print_ISBN
    978-1-4244-0011-9
  • Electronic_ISBN
    978-1-4244-0012-6
  • Type

    conf

  • DOI
    10.1109/CCSP.2005.4977213
  • Filename
    4977213