多描述编码的失真指数

Songqing Zhao, Daniela Tuninetti, R. Ansari, D. Schonfeld
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引用次数: 3

摘要

失真指数被提出作为性能指标来表征当信噪比增加到无穷大时平均失真衰减到零的速度。多描述编码(MDC)的失真指数仅针对两种描述和对称信噪比进行了研究。在本文中,我们考虑了任意数量的描述和非对称信噪比的情况。我们推导了具有N≥3描述的MDC可实现的失真指数和N =3时失真指数的上界。我们的结果是基于高信噪比近似,我们称之为噪声消除方法。我们还考虑了噪声消除近似方法的一种特殊情况,我们称之为等相关。对于每种方法,畸变指数都是作为线性程序的解得到的。数值结果验证了近似方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distortion exponent for multiple description coding
Distortion exponent has been proposed as performance measure to characterize how fast the average distortion decays to zero when the SNR increases to infinity. The distortion exponent for Multiple Description Coding (MDC) has only been investigated for two descriptions and symmetric SNR. In this paper, we consider the case of any number of descriptions and asymmetric SNR. We derive an achievable distortion exponent for MDC with N ≥3 description and an upper bound for the distortion exponent for N =3. Our results are based on an high-SNR approximation which we named noise cancellation method. We also consider a special case of our noise cancellation approximation method which we refer to as equal correlation. For each method, the distortion exponent is obtained as the solution of a linear program. Numerical results verify the validity of our approximation method.
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