Processing Based on Information Structure

  • Jianhua Lu
  • Xiaoming Tao
  • Ning Ge
Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)


In order to meet the increasing demand of high data rate communication in wireless networks, it is extremely urgent to find a way for efficient transmission of data in a bandwidth-limited environment. Consequently, highly compressed source coding and efficient channel coding are required to maintain the quality of services. On the other hand, compressed data is often extremely sensitive to errors, especially to burst errors that are commonly encountered in wireless channels. Therefore, reliable data transmission requires protection mechanisms capable of combating errors at an acceptable cost of reduced transmission efficiency. However, conventional data transmission, with bit-based processing, may not achieve this goal due to inevitable bit error propagation. In this chapter, we firstly introduce a structure representation and its processing method. Then, we show how this structure is protected to ensure reliable transmission. Finally, a block-shuffling scheme is incorporated into the proposed system so as to improve the performance of image transmission over wireless networks.


Structure representation  Minimum data unit  Structure processing  Block-shuffling  Wireless multimedia communications 


  1. 1.
    JTC(AIR), “Final Text for PACS Licensed Air Interface (TAG 3),” J-STD 014, Jun. 1995.Google Scholar
  2. 2.
    S. Lin, and D. J. Costello, “Error control coding: fundamentals and Applications,” Prentice Hall, Inc., 1983.Google Scholar
  3. 3.
    K. I. Chan, J. Lu, and J. C-I Chuang, “Block Shuffling and Adaptive Interleaving for Still Image Transmission over Rayleigh Fading Channels,” IEEE Trans. on Vehicular Technology, vol. 48, no. 3, pp. 1002–1011, May 1999.Google Scholar
  4. 4.
    J. Lu, M. L. Liou, and K. Ben Letaief, “Efficient Image Transmission over Wireless Channels,” Proc. IEEE 1997 Inter. Symp. on Circuits and Systems, ISCAS’97, Hong Kong, pp. 1097–1100, Jun. 1997.Google Scholar
  5. 5.
    H. Gharavi, and W. Y. Ng, “H.263 Compatibal Video Coding and Transmission,” Proc. Workshop on Wireless Image/Video Commun., Loughborough UK, pp. 115–120, Sep. 1996.Google Scholar
  6. 6.
    J. Lu, M. L. Liou, K. Ben Letaief, and J. C-I Chuang, “Error resilient transmission of H.263 coded video over mobile networks,” Proc. IEEE 1998 Inter. Symp. on Circuits and Systems, ISCAS’98, Monterey, USA, Jun. 1998.Google Scholar
  7. 7.
    J. Lu, “Mobile Image/Video Transmission for Wireless Multimedia Communications,” Hong Kong University of Science and Technology, May 1998.Google Scholar
  8. 8.
    J. Lu, M. L. Liou, K. Ben Letaief, and J. C-I Chuang, “Mobile image transmission using combined source and channel coding with low complexity concealment,” Signal Processing: Image Communication, vol. 12, no. 2, Apr. 1998.Google Scholar
  9. 9.
    T. S. Rappaport, “Wireless communications, principles & practice,” Prentice-Hall, 1996.Google Scholar
  10. 10.
    M. Mouly, and M.-B. Pautet, “The GSM system for Mobile Communications,” Europe Media Duplication, S.A., 1993.Google Scholar
  11. 11.
    Y. Wang, Q.-F. Zhu, and L. Shaw, “Maximally Smooth Image Recovery in Transform Coding,” IEEE Trans. on Commun., vol. 41, no. 10, pp. 1544–1551, Oct. 1993.Google Scholar
  12. 12.
    G. K. Wallace, “The JPEG Still Picture Compression Standard,” Communications of the ACM, vol. 34, no. 4, pp. 31–44, Apr. 1991.Google Scholar
  13. 13.
    W. C. Jakes, “Microwave mobile communications,” IEEE Press, 1974.Google Scholar

Copyright information

© The Author(s) 2015

Authors and Affiliations

  • Jianhua Lu
    • 1
  • Xiaoming Tao
    • 1
  • Ning Ge
    • 1
  1. 1.Department of Electronic EngineeringTsinghua UniversityBeijingChina

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