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Joint source-channel coding of GGD sourceswith allpass filtering source reshaping

机译：使用全通滤波源整形对GGD源进行联合源通道编码

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摘要

An optimal joint source-channel coding (OJSCC) scheme is developed for encoding me-moryless generalized Gaussian distribution (GGD) sources and transmission over noisy channels, including memoryless channels and bursty channels. In particular, we are able to incorporate both transition probability and bit error rate of a bursty channel model into an end-to-end rate-distortion (R-D) function. This R-D function results in an optimum tradeoff between source coding accuracy and channel error protection under a fixed transmission rate. Based on the results of OJSCC, we further proposed a robust joint source-channel coding (RJSCC) scheme based on a combination of OJSCC with allpass filtering source reshaping. Experimental results based on a broad class of GGD sources suggest that the RJSCC scheme consistently outperforms the OJSCC scheme when the shape factor, a parameter of GGD, is less than 2.0. The comparison of RJSCC with the state-of-the-art robust quantization (RQ) [IEEE Trans. Image Process. 7 (1998) 496-505] shows that RJSCC is comparable with RQ at low bit rate and significantly better than RQ at high bit rate. In addition, an image transmission system using RJSCC demonstrates that the RJSCC system can be efficiently employed in practical applications.
机译：开发了一种最优的联合源信道编码（OJSCC）方案，用于对无记忆的广义高斯分布（GGD）源进行编码，并在包括无记忆信道和突发信道在内的噪声信道上进行传输。特别是，我们能够将突发信道模型的转换概率和误码率都纳入端到端的率失真（R-D）函数中。此R-D功能可在固定传输速率下在源编码精度和信道错误保护之间实现最佳平衡。基于OJSCC的结果，我们进一步提出了一种基于OJSCC与全通滤波源整形相结合的鲁棒联合源信道编码（RJSCC）方案。基于大量GGD来源的实验结果表明，当形状因子（GGD的参数）小于2.0时，RJSCC方案始终优于OJSCC方案。 RJSCC与最先进的鲁棒量化（RQ）的比较[IEEE Trans。图像处理。图7（1998）496-505]显示RJSCC在低比特率下与RQ相当，并且显着优于在高比特率下的RQ。此外，使用RJSCC的图像传输系统证明RJSCC系统可以在实际应用中有效使用。

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