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Data Compression Conference (DCC '99)
Progressive Joint Source-Channel Coding in Feedback Channels
Snowbird, Utah
March 29-March 31
ISBN: 0-7695-0096-X
Jin Lu, Rice University
Aria Nosratinia, Rice University
Behnaam Aazhang, Rice University
It is well known that Shannon's separation result does not hold under finite computation or finite delay constraints, thus joint source-channel coding is of great interest for practical reasons. For progressive source-channel coding systems, efficient codes have been proposed for feed forward channels [1] and the important problem of rate allocation between the source and channel codes has been solved [2]. For memoryless channels with feedback, the rate allocation problem was studied in [3]. In this paper, we consider the case of the fading channels with feedback. Feedback routes are provided in many existing standard wireless channels, making rate allocation with feedback a problem of considerable practical importance. We address the question of rate allocation between the source and channel codes in the forward channel, in the presence of feedback information and under a distortion cost function. We show that the presence of feedback shifts the optimal rate allocation point, resulting higher rates for error-correcting codes and smaller overall distortion. Simulations on both memoryless and fading channels show that the presence of feedback allows up to 1 dB improvement in PSNR compared to the similarly optimized feed forward scheme.
Citation:
Jin Lu, Aria Nosratinia, Behnaam Aazhang, "Progressive Joint Source-Channel Coding in Feedback Channels," dcc, pp.140, Data Compression Conference (DCC '99), 1999
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