最优固定速率和熵约束网络标量量化器中的码元邻接性

M. Effros, D. Muresan
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引用次数: 27

摘要

考虑了有限字母源的最优固定速率和熵约束标量量化子的性质。特别地,我们考虑了在没有编单元相邻约束的情况下,具有连续编单元的最优标量量化器的性能不差于最优标量量化器的条件。除了传统的标量量化器外,我们还考虑了多分辨率标量量化器和多描述标量量化器,并简要介绍了具有解码器侧信息的代码(Wyner-Ziv码)。而在固定速率和熵约束的标量量化中,码元邻接性与最优性一致的条件是相当广泛的,即使使用平方误差失真测量,在固定速率和熵约束的多分辨率、多重描述和Wyner-Ziv标量量化中,码元邻接性也会对某些源排除最优性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Codecell contiguity in optimal fixed-rate and entropy-constrained network scalar quantizers
We consider the properties of optimal fixed-rate and entropy-constrained scalar quantizers for finite alphabet sources. In particular, we consider conditions under which the optimal scalar quantizer with contiguous codecells achieves performance no worse than the optimal scalar quantizer without the constraint of codecell contiguity. In addition to traditional scalar quantizers, we consider multi-resolution scalar quantizers and multiple description scalar quantizers and also look briefly at codes with decoder side information (Wyner-Ziv codes). While the conditions under which codecell contiguity is consistent with optimality in fixed-rate and entropy-constrained scalar quantization are quite broad, even with the squared error distortion measure, codecell contiguity in fixed-rate and entropy-constrained multi-resolution, multiple description, and Wyner-Ziv scalar quantization can preclude optimality for some sources.
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