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首页> 外文期刊>IEEE transactions on wireless communications >Designing Optimal Multiresolution Quantizers with Error Detecting Codes
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Designing Optimal Multiresolution Quantizers with Error Detecting Codes

机译:使用检错码设计最佳多分辨率量化器

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This paper investigates the design of optimal multiresolution vector quantizers for broadcast channels with cyclic redundancy checks (CRC). Given a CRC-coded broadcast system with multiresolution vector quantization (MRVQ), a closed-form formula for the weighted end-to-end distortion (EED) is first derived under random index assignment. The closed-form expression is then further utilized to identify necessary optimality conditions to minimize the EED, from which an iterative algorithm is proposed for quantization design. Experiments conducted under both the point-to-point and broadcast channels demonstrate that for a wide range of channel error probability, inclusion of CRC significantly reduces the EED without sacrificing bandwidth. Further analyses are conducted to determine the best tradeoff between bits allocated for source quantization and CRC error detection.
机译:本文研究了具有循环冗余校验(CRC)的广播信道的最佳多分辨率矢量量化器的设计。给定具有多分辨率矢量量化(MRVQ)的CRC编码的广播系统,首先在随机索引分配下导出加权的端到端失真(EED)的闭式公式。然后,将封闭形式的表达式进一步用于标识必要的最优性条件以最小化EED,并从中提出了一种用于量化设计的迭代算法。在点对点和广播信道下进行的实验表明,对于较大范围的信道错误概率,包含CRC可以显着降低EED而不会牺牲带宽。进行进一步的分析以确定分配给源量化和CRC错误检测的比特之间的最佳平衡。

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