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
fDate :
Sept. 29 2010-Oct. 1 2010
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;
Conference_Titel :
Communication, Control, and Computing (Allerton), 2010 48th Annual Allerton Conference on
Conference_Location :
Allerton, IL
Print_ISBN :
978-1-4244-8215-3
DOI :
10.1109/ALLERTON.2010.5706979