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Channel-matched hierarchical table-lookup vector quantization

机译:通道匹配的分层查表矢量量化

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摘要

In this correspondence, we propose a channel-matched hierarchical table-lookup vector quantizer for a discrete memoryless channel. We show that this scheme simultaneously provides low encoding complexity and robustness against transmission noise. Additionally, we propose the use of lookup tables for transcoding in heterogeneous networks. We show, through an example motivated by an application in multicasting, that the proposed table-lookup transcoding approach is an elegant alternative to the expensive and delay-introducing method of transcoding achieved by decoding and re-encoding.
机译:在这种对应关系中,我们提出了一种用于离散无记忆通道的通道匹配的分层表查找矢量量化器。我们表明,该方案同时提供了较低的编码复杂度和针对传输噪声的鲁棒性。此外,我们建议使用查找表在异构网络中进行代码转换。通过一个多播应用程序激发的示例,我们表明,所提出的查表转码方法是通过解码和重新编码实现的昂贵且延迟引入的转码方法的一种绝佳替代方法。

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