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首页> 外文期刊>IEEE Transactions on Communications >Joint design of fixed-rate source codes and multiresolution channel codes
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Joint design of fixed-rate source codes and multiresolution channel codes

机译：固定速率源代码和多分辨率通道代码的联合设计

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摘要

We propose three new design algorithms for jointly optimizing source and channel codes. Our optimality criterion is to minimize the average end-to-end distortion. For a given channel SNR and transmission rate, our joint source and channel code designs achieve an optimal allocation of bits between the source and channel coders. Our three techniques include a source-optimized channel code, a channel-optimized source code, and an iterative descent technique combining the design strategies of the other two codes. The joint designs use channel-optimized vector quantization (COVQ) for the source code and rate compatible punctured convolutional (RCPC) coding for the channel code. The optimal bit allocation reduces distortion by up to 6 dB over suboptimal allocations and by up to 4 dB relative to standard COVQ for the source data set considered. We find that all three code designs have roughly the same performance when their bit allocations are optimized. This result follows from the fact that at the optimal bit allocation the channel code removes most of the channel errors, in which case the three design techniques are roughly equivalent. We also compare the robustness of the three techniques to channel mismatch. We conclude the paper by relaxing the fixed transmission rate constraint and jointly optimizing the transmission rate, source code, and channel code.
机译：我们提出了三种新的设计算法来共同优化源代码和通道代码。我们的最优标准是使平均端到端失真最小。对于给定的信道SNR和传输速率，我们的联合源代码和信道代码设计可在源代码和信道编码器之间实现比特的最佳分配。我们的三种技术包括源优化的通道代码，通道优化的源代码以及结合其他两个代码的设计策略的迭代下降技术。联合设计对源代码使用通道优化的矢量量化（COVQ），对通道代码使用速率兼容的收缩卷积（RCPC）编码。相对于次优分配，最佳位分配可将失真降低多达6 dB，相对于所考虑源数据集的标准COVQ，可将失真降低高达4 dB。我们发现，当优化其位分配时，所有三种代码设计都具有大致相同的性能。该结果来自以下事实：在最佳比特分配下，信道代码可消除大多数信道错误，在这种情况下，这三种设计技术大致相同。我们还比较了三种技术对信道失配的鲁棒性。我们通过放松固定的传输速率约束并共同优化传输速率，源代码和通道代码来结束本文。

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