Elements of information theory
Elements of information theory
Detection of binary Markov sources over channels with additive Markov noise
IEEE Transactions on Information Theory
MPEG-4 image transmission using MAP source-controlled channel decoding
IEEE Journal on Selected Areas in Communications
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In this paper, we design the adaptive MAP source-controlled channel decoding for transmitting MPEG-4 images. The first order Markov model is employed for adaptively computing the source transition probabilities of the zerotree symbol sequences. Those probabilities are required at the receiver for the newly branch metric computation of the Viterbi algorithm. For analysis, we efficiently evaluate the residual redundancies for both the "Lena" and the "Barbara" images. The system performance is summarized in term of both PSNR (dB) and WER. We consider the slow flat Rician fading channels and also block-fading Rician fading channels. In the simulation results, we achieve the most improvement of about 0.25-0.26 dB for both images. Also, in most cases, the PSNR improvement for the "Barbara" image is slightly greater than that for the "Lena" one.