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On Scalar Quantizer Design with Decoder SideInformation

机译:具有解码器SideInformation的标量量化器设计

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In this work, we investigate the design ofrnscalar quantizers for the Wyner-Ziv problem, where therndecoder has access to a noisy copy of the source. Necessaryrnconditions are given for the design of optimum quantizersrnwith a fixed number of partitions for a criterion consistingrnof a linear combination of distortion and rate. A simplerniterative algorithm is developed to tackle the new quantizerrndesign problem. The new algorithm generalizes the well-knownrnLloyd type I algorithm. The new approach will,rnin general, yield different scalar quantizers than therntraditional approaches and these new quantizers providernsome advantages. We also develop approximations tornsimplify quantizer design for high rate cases. With suchrnapproximations, the traditional optimal fixed-rate andrnentropy-constrained scalar quantizers are shown to remainrnoptimum under certain conditions.
机译:在这项工作中,我们研究了Wyner-Ziv问题的标量量化器的设计,在Wyner-Ziv问题中,解码器可以访问源的嘈杂副本。给出了设计最佳量化器的必要条件,该量化器具有固定数量的分区,用于由失真和速率的线性组合组成的准则。开发了一种简单的迭代算法来解决新的量化器设计问题。新算法推广了众所周知的I型劳埃德算法。一般而言,新方法将产生与传统方法不同的标量量化器,并且这些新的量化器具有一些优势。我们还开发了近似方法来简化高速率情况下的量化器设计。利用这种近似值,传统的最佳固定速率和熵约束标量量化器在某些条件下仍保持最佳状态。

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