k -信道多重描述量化分析

Guoqiang Zhang, J. Klejsa, W. Kleijn
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引用次数: 7

摘要

本文研究了k信道对称多描述编码的紧率失真界。我们发现单个侧畸变(对于单个接收描述)和中心畸变(对于K个接收描述)的函数的乘积与描述之间的冗余是渐近独立的。利用这一性质,我们分析了两种不同的实用多重描述晶格矢量量化器(MDLVQ)的渐近行为。我们的分析包括从一种新的几何观点处理MDLVQ系统,这导致使用比量化空间更高维的球面的归一化第二矩来表达侧畸变。由下界导出的失真积表达式随后被用作评估所考虑的MDLVQ系统的性能损失的标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of K-Channel Multiple Description Quantization
This paper studies the tight rate-distortion bound for K-channel symmetric multiple-description coding for a memory less Gaussian source. We find that the product of a function of the individual side distortions (for single received descriptions) and the central distortion (for K received descriptions) is asymptotically independent of the redundancy among the descriptions. Using this property, we analyze the asymptotic behaviors of two different practical  multiple-description lattice vector quantizers (MDLVQ). Our analysis includes the treatment of a MDLVQ system from a new geometric viewpoint, which results in an expression for the side distortions using the normalized second moment of a sphere of higher dimensionality than the quantization space. The expression of the distortion product derived from the lower bound is then applied as a criterion to assess the performance losses of the considered MDLVQ systems.
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