Title :
Compressive sensing based image transmission for multiuser V2X communications
Author :
Makido, S. ; Takanashi, Masaki
Author_Institution :
Toyota Central R&D Labs. Inc., Nagakute, Japan
Abstract :
For the practical implementation of the compressive sensing (CS) it is very important to achieve a good balance between the system stability and the processing simplicity. This paper proposes simple and robust measurement matrices for CS aiming for V2X image transmission. To introduce the random factors into array codes, which is known error correcting codes, we can achieve both simplicity and robustness. Furthermore, because the proposed measurement matrices can be easily generated, they are easily applied to multiuser system without retransmission control. The reconstruction stability of the proposed method is quite high even in case of small row weight. This leads to faster reconstruction compared to the conventional low density matrix approaches.
Keywords :
compressed sensing; error correction codes; image coding; matrix algebra; CS; array codes; codes; compressive sensing based image transmission; low density matrix approaches; measurement matrices; multiuser V2X communications; processing simplicity; random factors; reconstruction stability; Arrays; Complexity theory; Image coding; Image reconstruction; PSNR; Sparse matrices; Vectors;
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2013 IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-3131-9
DOI :
10.1109/CCNC.2013.6488468