Title :
Non-linear coding for improved performance in compressive sensing
Author :
Hu, Yichuan ; Wang, Zhongmin ; Garcia-Frias, Javier ; Arce, Gonzalo R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Delaware, Newark, DE
Abstract :
We propose a system based on the combination of compressive sensing and non-linear processing that shows excellent robustness against noise. The key idea is the use of nonlinear 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. As we will show in our simulation results, the proposed framework is readily applicable in practical systems such as imaging, and clearly outperforms systems based on stand-alone compressive sensing.
Keywords :
combined source-channel coding; analog joint source-channel encoders; compressive sensing; compressive sensing measurements; noisy channel; nonlinear coding; nonlinear mapping; Channel capacity; Degradation; Digital communication; Image coding; Image reconstruction; Linear code; Noise level; Noise robustness; Nonlinear distortion; Rate distortion theory;
Conference_Titel :
Information Sciences and Systems, 2009. CISS 2009. 43rd Annual Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-2733-8
Electronic_ISBN :
978-1-4244-2734-5
DOI :
10.1109/CISS.2009.5054682