• DocumentCode
    624278
  • Title

    Signal compression using the discrete wavelet transform and the discrete cosine transform

  • Author

    Barsanti, Robert J. ; Athanason, Athanasios

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Citadel, Charleston, SC, USA
  • fYear
    2013
  • fDate
    4-7 April 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Signal compression using the wavelet transform and discrete cosine transform is investigated on short duration synthetic signals. The signal fidelity as measured by peak signal to noise ratio (PSNR) is compared for an assortment of wavelet basis functions. Plots of PSNR versus the signal compression are provided. The signal entropy is computed in each basis as an indicator of the performance of the compression process. Simulations demonstrating the effectiveness of each basis are presented and contrasted.
  • Keywords
    data compression; discrete cosine transforms; discrete wavelet transforms; encoding; PSNR; discrete cosine transform; discrete wavelet transform; peak signal to noise ratio; short duration synthetic signals; signal compression; Computational modeling; Discrete cosine transforms; Discrete wavelet transforms; Entropy; PSNR; Discrete Cosine Transform; Signal Compression; Wavelet Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon, 2013 Proceedings of IEEE
  • Conference_Location
    Jacksonville, FL
  • ISSN
    1091-0050
  • Print_ISBN
    978-1-4799-0052-7
  • Type

    conf

  • DOI
    10.1109/SECON.2013.6567496
  • Filename
    6567496
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=624278