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Zero-Delay and Causal Single-User and Multi-User Lossy Source Coding with Decoder Side Information

机译:零延迟和因果单用户和多用户有损源编码   使用解码器端信息

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摘要

We consider zero-delay single-user and multi-user source coding with averagedistortion constraint and decoder side information. The zero-delay constrainttranslates into causal (sequential) encoder and decoder pairs as well as theuse of instantaneous codes. For the single-user setting, we show that optimalperformance is attained by time sharing at most two scalar encoder-decoderpairs, that use zero-error side information codes. Side information lookaheadis shown to useless in this setting. We show that the restriction to causalencoding functions is the one that causes the performance degradation, comparedto unrestricted systems, and not the sequential decoders or instantaneouscodes. Furthermore, we show that even without delay constraints, if either theencoder or decoder are restricted a-priori to be scalar, the performance losscannot be compensated by the other component, which can be scalar as wellwithout further loss. Finally, we show that the multi-terminal source codingproblem can be solved in the zero-delay regime and the rate-distortion regionis given.
机译:我们考虑具有平均失真约束和解码器附带信息的零延迟单用户和多用户源编码。零延迟约束转换为因果(顺序)编码器和解码器对,以及瞬时代码的使用。对于单用户设置,我们证明了通过在最多两个使用零错误辅助信息码的标量编码器/解码器对中分时实现最佳性能。在此设置中,辅助信息超前显示为无用的。我们显示,与无限制的系统相比,对causalencoding函数的限制是导致性能下降的一种限制,而不是顺序解码器或瞬时代码。此外,我们表明,即使没有延迟约束,如果将编码器或解码器先验地限制为标量,则性能损失也无法由其他组件补偿,而其他组件也可以是标量,而不会造成进一步损失。最后,我们证明了多终端源编码问题可以在零延迟体制下解决,并且给出了速率失真区域。

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