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New Results on Variable-Length Lossy Compression Allowing Positive Overflow and Excess Distortion Probabilities

机译:可变长度有损压缩的新结果,允许出现正溢出和过度失真概率

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This paper shows some new results for the problem of variable-length lossy source coding. We deal with the case where both the excess distortion probability and the overflow probability of codeword lengths are less than or equal to positive constants. Our previous study for the problem of variable-length (noiseless) lossy source coding has derived the general formula of the infimum of the thresholds on the overflow probability by using the quantity based on the smooth max entropy. This study extends this result in two directions. First, we derive the single-letter characterization of the infimum of the thresholds on the overflow probability for stationary memoryless sources. Second, for the problem of variable-length noisy lossy source coding, also known as the problem of remote lossy source coding, we establish the general nonasymptotic formula on the converse bound by using the new quantity based on the smooth max entropy.
机译:本文显示了可变长度有损源编码问题的一些新结果。我们处理过大的失真概率和码字长度的溢出概率均小于或等于正常数的情况。我们先前对可变长度(无噪声)有损源编码问题的研究已经通过使用基于光滑最大熵的量推导了溢出概率阈值最小的一般公式。这项研究从两个方向扩展了这一结果。首先,我们推导了固定无记忆源的溢出概率阈值最小的单字母特征。其次,对于可变长度噪声有损源编码的问题,也称为远程有损源编码的问题,我们基于平滑最大熵,通过使用新的数量,在逆界上建立了一般的非渐近公式。

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