• DocumentCode
    3715355
  • Title

    An approach to implement VSS-LMS algorithm in frequency domain for adaptive noise cancellation

  • Author

    Rachana Nagal;Pradeep Kumar;Poonam Bansal

  • Author_Institution
    Department of ECE/ICE, ASET, Amity Bijwasan, New Delhi
  • fYear
    2015
  • Firstpage
    18
  • Lastpage
    21
  • Abstract
    This paper presents the Variable Step Size Least Mean Square algorithm formulated in frequency domain by taking the (Fast Fourier Transform) FFT of signal obtained from filter. This way the algorithms performed better than its implementation in time domain in terms of Signal to Noise Ratio (SNR). The algorithms implemented in MATLAB with different colored noise surroundings. To evaluate the performance of the algorithm its comparison has been done with time domain. The algorithm has given 5-44% increased SNR compared to that implemented in time domain with different type of colored noises. The algorithm has also been tested in frequency domain for different step sizes.
  • Keywords
    "Frequency-domain analysis","Signal processing algorithms","Least squares approximations","Time-domain analysis","Signal to noise ratio","Convergence","Algorithm design and analysis"
  • Publisher
    ieee
  • Conference_Titel
    Computer and Computational Sciences (ICCCS), 2015 International Conference on
  • Print_ISBN
    978-1-4799-1818-8
  • Type

    conf

  • DOI
    10.1109/ICCACS.2015.7361315
  • Filename
    7361315