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Heegard-Berger and Cascade Source Coding Problems with Common Reconstruction Constraints

机译:Heegard-Berger与常见的Cascade源编码问题   重建约束

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摘要

For the HB problem with the CR constraint, the rate-distortion function isderived under the assumption that the side information sequences are(stochastically) degraded. The rate-distortion function is also calculatedexplicitly for three examples, namely Gaussian source and side information withquadratic distortion metric, and binary source and side information witherasure and Hamming distortion metrics. The rate-distortion function is thencharacterized for the HB problem with cooperating decoders and (physically)degraded side information. For the cascade problem with the CR constraint, therate-distortion region is obtained under the assumption that side informationat the final node is physically degraded with respect to that at theintermediate node. For the latter two cases, it is worth emphasizing that thecorresponding problem without the CR constraint is still open. Outer and innerbounds on the rate-distortion region are also obtained for the cascade problemunder the assumption that the side information at the intermediate node isphysically degraded with respect to that at the final node. For the threeexamples mentioned above, the bounds are shown to coincide. Finally, for the HBproblem, the rate-distortion function is obtained under the more generalrequirement of constrained reconstruction, whereby the decoder's estimate mustbe recovered at the encoder only within some distortion.
机译:对于具有CR约束的HB问题,假设边信息序列(随机)降级,则推导速率失真函数。率失真函数还针对三个示例进行了显式计算,即具有二次失真度量的高斯源和辅助信息,以及具有擦除和汉明失真度量的二进制源和辅助信息。然后,针对具有协作解码器和(物理)降级的辅助信息的HB问题,表征速率失真函数。对于具有CR约束的级联问题,在假设最终节点上的边信息相对于中间节点上的边信息物理退化的情况下,获得了速率失真区域。对于后两种情况,值得强调的是,没有CR约束的相应问题仍然存在。在级联问题上,在假设中间节点的边信息相对于最终节点的边信息在物理上退化的情况下,也可以获得速率失真区域的外部边界和内部边界。对于上述三个示例,显示的边界是一致的。最后,对于HB问题,率失真函数是在约束重构的更普遍要求下获得的,因此解码器的估计必须仅在一定失真范围内在编码器中恢复。

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