Maximum-throughput delivery of SVC-based video over MIMO systems with time-varying channel capacity
Journal of Visual Communication and Image Representation
An optimal bit allocation framework for error resilient scalable video coding
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
IEEE Transactions on Image Processing
Optimal bandwidth allocation for scalable H.264 video transmission over MIMO systems
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
JSCC based on adaptive segmentation and irregular LDPC for image transmission over wireless channels
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
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A joint source-channel coding (JSCC) scheme for robust progressive image transmission over broadband wireless channels using orthogonal frequency division multiplexing (OFDM) systems with spatial diversity is proposed for the application environments where no feedback channel is available such as broadcasting services. Most of current research about JSCC focuses on either binary symmetric channels (BSC) or additive white Gaussian noise (AWGN) channels. To deal with fading channels in most previous methods, the fading channel is modeled as two state Gilbert-Elliott channel model and the JSCC is normally aimed at the BER of bad channel status, which is not optimal when the channel is at good status. By using diversity techniques and OFDM, the frequency selective fading effects in broadband wireless channels can be significantly decreased and we show that subchannels in OFDM systems approach Gaussian noisy channels when the diversity gain gets large; as a result, the system performance can be improved in terms of throughput and channel coding efficiency. After analyzing the channel property of OFDM systems with spatial diversity, a practical JSCC scheme for OFDM systems is proposed. Simulation results are presented for transmit diversity with different numbers of antennas and different multipath delay and Doppler spread. It is observed from simulations that the performance can be improved more than 4 dB in terms of peak signal-to-noise ratio (PSNR) of the received image Lena and the performance is not very sensitive to different multipath spread and Doppler frequency.