A new achievable region for Gaussian multiple descriptions based on subset typicality

Kumar Viswanatha, E. Akyol, K. Rose
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Abstract

This paper addresses the L-channel multiple descriptions problem for a Gaussian source under mean squared error (MSE) distortion metric. We focus on particular cross-sections of the general rate-distortion region where a subset the 2L - 1 distortion constraints are not imposed. Specifically, we assume that certain descriptions are never received simultaneously at the decoder and thereby the transmitted codewords require joint typicality only within prescribed subsets. We derive a new encoding scheme and an associated rate-distortion region wherein joint typicality of codewords only within the prescribed subsets is maintained. We show that enforcing joint typicality of all the codewords entails strict suboptimality in the achievable rate-distortion region. Specifically, we consider a 3 descriptions scenario wherein descriptions 1 and 3 are never received simultaneously at the decoder and show that a strictly larger achievable region is obtained when the encoder maintains joint typicality of codewords only within the required subsets. To prove these results, we derive a lemma called the `subset typicality lemma' which plays a critical role in establishing the new achievable region.
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基于子集典型性的高斯多重描述新可实现区域
本文研究了均方误差(MSE)失真度量下高斯源的l通道多重描述问题。我们将重点放在一般速率失真区域的特定横截面上,其中不施加2L - 1失真约束的子集。具体来说,我们假设解码器从未同时接收到某些描述,因此传输的码字仅在规定的子集内需要联合典型性。我们推导了一种新的编码方案和相关的率失真区域,其中码字仅在规定的子集内保持联合典型性。我们证明了强制所有码字的联合典型性需要在可实现的率失真区域内实现严格的次优性。具体来说,我们考虑一个3描述场景,其中描述1和3从未在解码器同时接收,并且表明当编码器仅在所需子集内保持码字的联合典型性时,可以获得更大的可实现区域。为了证明这些结果,我们推导了一个被称为“子集典型引理”的引理,它在建立新的可实现区域中起着关键作用。
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