一类新的普适多重描述格量化子

Proceedings. International Symposium on Information Theory, 2005. ISIT 2005. Pub Date : 2005-10-31 DOI:10.1109/ISIT.2005.1523656

Jun Chen, C. Tian, T. Berger, S. Hemami

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引用次数: 8

摘要

基于量化分裂的方法，提出了一类新的通用多重描述格量化子。对于高斯源和平方误差失真测量，我们的方案可以实现整个多重描述率失真区域，因为(最优)点阵量化器的维数变大了

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A new class of universal multiple description lattice quantizers

We propose a new class of universal multiple description lattice quantizers based on the method of quantization splitting. For Gaussian sources and squared error distortion measure, our scheme can achieve the whole multiple description rate-distortion region, as the dimension of the (optimal) lattice quantizers becomes large

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来源期刊

Proceedings. International Symposium on Information Theory, 2005. ISIT 2005.

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0.00%

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