1 / 13

Distributed Video Coding and Transmission over Wireless Fading Channel

Distributed Video Coding and Transmission over Wireless Fading Channel. T. Kuganeswaran , X. Fernando and L. Guan Canadian Conference on Electrical and Computer Engineering, 2008. CCECE 2008. Adviser : 葉家宏老師 Presenter : 林保宏 Date : 2009/12/27 (Wed). Outline. Introduction Wireless channel

ovidio
Télécharger la présentation

Distributed Video Coding and Transmission over Wireless Fading Channel

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Distributed Video Coding andTransmission over Wireless Fading Channel T. Kuganeswaran , X. Fernando and L. Guan Canadian Conference on Electrical and Computer Engineering, 2008. CCECE 2008. Adviser : 葉家宏老師 Presenter : 林保宏 Date : 2009/12/27 (Wed)

  2. Outline Introduction Wireless channel Result Conclusion

  3. Introduction • DVC has lesser complexity encoders at the expense of higher decoder complexity Channel

  4. Introduction • The noise channel refers to AWGN channel and wireless fading channel • Noisy environment is not analyzed with DVC codec in recent research works

  5. Outline Introduction Wireless channel Result Conclusion

  6. Wireless Channel • Multipath fading • Obstacle Multipath fading phenomenon

  7. Wyner-Ziv codec (DVC) enabled with wireless channel Wireless Channel p2i = parity bits Y2i = [ (X2i-1) + (X2i+1) ] / 2 ( side information ) X2i-1 = X2i+1 = key frame

  8. MAP rule (maximum a posteriorityestimation ) ln ln Wireless Channel 1 Gaussian model > < 0 1 > < 0 rj = αsj + nj α= fading coefficient si = transmitted signal ni = AWGN noise 1 > r { * σ2 } / 2 < 0 threshold

  9. Wireless Channel • SISO wireless channel (single input single output) • AWGN noise • Multipath fading • AWGN channel(additive white Gaussian noise ) • AWGN noise

  10. Outline Introduction Wireless channel Result Conclusion

  11. Result AWGN noise Multipath fading AWGN noise Performance of PSNR variation with SNR for input Video sequence (Foreman video sequence) BER Vs SNR (SISO wireless channel and AWGN channel)

  12. Conclusion DVC over multipath fading channel needs more SNR to get the acceptable PSNR value Performance can be improved using transmit-receive antenna diversity in the future

  13. Thank you

More Related