比较熵约束标量量化器与其他标量量化器的性能

A. N. Kim, T. Ramstad
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引用次数: 1

摘要

最优熵约束标量量化器(ECSQ)在所有标量量化器中具有最佳的率失真性能。虽然在高比特率下,最优ECSQ收敛于均匀量化器,但在低比特区域的优化通常需要具有高复杂性的数值解。比较了最优ECSQ与三种简单的标量量化配置:均匀阈值量化器、带维纳滤波器的均匀量化器和带维纳滤波器的零输入相关量化器的性能。仿真中采用高斯分布输入。结果表明,即使在低比特率下,简单的量化器也能达到最佳的ECSQ性能,而带维纳滤波器的均匀量化器提供了最简单的配置。
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Comparing performance of entropy constrained scalar quantizer and other scalar quantizers
The optimal entropy constrained scalar quantizer (ECSQ) gives the best possible rate-distortion performance of any scalar quantizer. While at high bit rates the optimal ECSQ converges to the uniform quantizer, optimization at low-bit regions demands usually numerical solutions with high complexity. The performance of optimal ECSQ is compared with three simpler scalar quantization configurations: uniform threshold quantizer, uniform quantizer with Wiener filter and the zero input correlation quantizer with Wiener filter. Gaussian distributed inputs are used in the simulations. Results show that the simpler quantizers, are able to match the optimal ECSQ performance, even at low bit rates while the uniform quantizer with Wiener filter provides the simplest configuration.
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