• DocumentCode
    1725610
  • 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
  • fYear
    2013
  • Firstpage
    345
  • Lastpage
    350
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2013 IEEE
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4673-3131-9
  • Type

    conf

  • DOI
    10.1109/CCNC.2013.6488468
  • Filename
    6488468