• DocumentCode
    2421490
  • Title

    Non-linear mappings for transmission of compressed sensing images

  • Author

    Iglesias, I. ; Lu, B. ; Garcia-Frias, J. ; Arce, G.R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Delaware, Newark, DE, USA
  • fYear
    2010
  • fDate
    Sept. 29 2010-Oct. 1 2010
  • Firstpage
    726
  • Lastpage
    732
  • Abstract
    We extend a recently proposed system based on the combination of compressive sensing and non-linear processing for the transmission of images over noisy channels. The key idea is the use of very simple non-linear mappings that act as analog joint source-channel encoders, processing the compressive sensing measurements proceeding from an analog source and producing continuous amplitude samples that are transmitted directly through the noisy channel. In order to reduce complexity a very simple approximation for the non-linear mapping is introduced. The proposed framework clearly outperforms systems based on stand-alone compressive sensing with almost negligible complexity.
  • Keywords
    data compression; image coding; interference (signal); analog joint source-channel encoder; compressed sensing images; compressive sensing measurements; continuous amplitude sample; noisy channels; nonlinear mapping; nonlinear processing; Approximation methods; Channel coding; Complexity theory; Compressed sensing; Noise measurement; Signal to noise ratio; Spirals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Control, and Computing (Allerton), 2010 48th Annual Allerton Conference on
  • Conference_Location
    Allerton, IL
  • Print_ISBN
    978-1-4244-8215-3
  • Type

    conf

  • DOI
    10.1109/ALLERTON.2010.5706979
  • Filename
    5706979