• DocumentCode
    2371235
  • Title

    Approximation of a Digital Signal Using Estimate Wavelet Transform

  • Author

    Yajnik, Archit

  • Author_Institution
    Dept. of Math., Sikkim Manipal Inst. of Technol., Majitar, India
  • fYear
    2011
  • fDate
    20-23 June 2011
  • Firstpage
    171
  • Lastpage
    175
  • Abstract
    This article presents a general outline of the approximation of digital signal using Discrete Wavelet. The technique used in is a new attitude to a multi resolution digital signal analysis by discrete wavelet transforms. This article demonstrates an approximation of a digital signal using Daubechies D4 wavelets. The present technique exhibits a revised procedure of removing distortion (loss) generated from the approximated double length digital signal presented in. For highly nonlinear digital signal the technique of fails to approximate the signal but the proposed revised technique can approximate the signal. The proposed method not only enables approximating digital signals in a better way but also it can approximate highly nonlinear digital signals. Moreover, the energy conservation is exactly double than the original signal which is not achieved by the approximation technique discussed in.
  • Keywords
    approximation theory; discrete wavelet transforms; distortion; estimation theory; signal processing; Daubechies D4 wavelets; approximated double length digital signal; digital signal approximation; discrete wavelet transform; distortion removal; estimate wavelet transform; multiresolution digital signal analysis; nonlinear digital signal; Approximation methods; Discrete wavelet transforms; Energy conservation; Multiresolution analysis; Discrete Wavelet Transform (DWT); Estimate Wavelet Transform (EWT); Multiresolution Analysis (MRA);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Its Applications (ICCSA), 2011 International Conference on
  • Conference_Location
    Santander
  • Print_ISBN
    978-1-4577-0142-9
  • Type

    conf

  • DOI
    10.1109/ICCSA.2011.49
  • Filename
    5959551