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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
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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)
Outline Introduction Wireless channel Result Conclusion
Introduction • DVC has lesser complexity encoders at the expense of higher decoder complexity Channel
Introduction • The noise channel refers to AWGN channel and wireless fading channel • Noisy environment is not analyzed with DVC codec in recent research works
Outline Introduction Wireless channel Result Conclusion
Wireless Channel • Multipath fading • Obstacle Multipath fading phenomenon
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
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
Wireless Channel • SISO wireless channel (single input single output) • AWGN noise • Multipath fading • AWGN channel(additive white Gaussian noise ) • AWGN noise
Outline Introduction Wireless channel Result Conclusion
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)
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