随机索引分配广播信道的最优多分辨率量化

Fei Teng, E. Yang, Xiang Yu
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引用次数: 7

摘要

本文研究了广播信道多分辨率矢量量化(MRVQ)的设计与分析。给定一个具有MRVQ、随机索引分配和编码广播信道的广播系统,我们首先得到了系统加权端到端失真(EED)的封闭形式公式。在此基础上,提出了广播系统最优MRVQ设计的迭代算法。实验结果表明,与不考虑信道条件的多分辨率量化器相比,采用该算法设计的考虑信道条件的多分辨率量化器显著降低了加权EED。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal multiresolution quantization for broadcast channels with random index assignment
This paper studies the design and analysis of multiresolution vector quantization (MRVQ) for broadcast channels. Given a broadcast system with MRVQ, a random index assignment, and a coded broadcast channel, we first obtain a closed-form formula for the weighted end-to-end distortion (EED) of the system. Based on the formula, an iterative algorithm is then proposed for designing optimal MRVQ for the broadcast system. Experimental results demonstrate that multiresolution quantizers jointly designed with channel conditions by the proposed algorithm significantly reduce the weighted EED in comparison with multiresolution quantizers designed without reference to channel conditions.
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