Abstract—In this work, we aim to obtain our designed system performance in order to transmit MPEG-4 medical images over indoor wireless channels. These kinds of images look similar regardless of their subject. Thus, the source transition probability matrix (STPM) used in a MAP decoding process can be computed and configured at the Viterbi receiver in advance. Moreover, to overcome the burst noise transmission problem, we employ a ring convolutional encoder with reconfigurable random inter-leavers. The system performances are summarized, based on the transmission over a Nakagami-m channel with block-fading parameter Ns. Thus, the modulating signals are not only corrupted by additive white Gaussian noise but also distorted by the multiplicative and correlative fading variables. The STPM and residual redundancy of both “Ultrasound” and “CTAnkle” images are described and computed. The simulation results of both “Ultra-sound” and “CTAnkle” images are summarized for m= 1, 2 and 4with Ns = 10 and 20.
Index Terms—MPEG-4 images, MAP decoder, Markovmodel, reconfigurable random interleaver, Ring convolutional codes, nakagami-m block-fading channels.
The authors are with the Department of Electrical Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand (e-mail: fengsjm@ku.ac.th; birth_ss@hotmail.com).
Cite: Srijidtra Mahapakulchai and Nirawit Sutavimol, "The Performance Evaluation of Recon_Gurable Random Interleavers with MAP Decoding for MPEG-4Medical Image Transmission Systems over Indoor Wireless Channels," International Journal of Future Computer and Communication vol. 2, no. 4 pp. 338-342, 2013.
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