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Robust adaptive buffer-instrumented entropy-coded quantization of stationary sources

机译:平稳源的鲁棒自适应缓冲区插值熵编码量化

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摘要

An investigation is conducted of the effects of various source statistics and buffer management algorithms for a buffer of fixed size, and an algorithm that provides particularly robust rate-distortion performance for a wide range of stationary sources is described. The performance of this scheme, which is referred to as the adaptive entropy-coded quantizer (AECQ), is compared to that of conventional adaptive pulse code modulation (APCM) operating at the same fixed channel transmission rate. Experimental results indicate that the AECQ can provide considerably improved performance and more robust operation than APCM. The relative sensitivity of the AECQ to scale mismatch is directly related to the rather simple memoryless feedback control strategy employed. This might be remedied by alternative choices of the memoryless feedback control function or by introducing memory. The former is much easier to implement and/or analyze than the latter.
机译:对固定大小的缓冲区的各种源统计数据和缓冲区管理算法的影响进行了研究,并描述了一种为各种固定源提供特别鲁棒的速率失真性能的算法。将该方案的性能(称为自适应熵编码量化器(AECQ))与以相同固定信道传输速率运行的常规自适应脉冲编码调制(APCM)的性能进行了比较。实验结果表明,与APCM相比,AECQ可以提供显着改善的性能和更稳定的操作。 AECQ对比例失配的相对敏感性与所采用的相当简单的无记忆反馈控制策略直接相关。这可以通过无记忆反馈控制功能的替代选择或引入记忆来弥补。前者比后者容易实施和/或分析。

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