首页> 外文期刊>Information Theory, IEEE Transactions on >Distributed Source Coding of Correlated Gaussian Remote Sources
【24h】

Distributed Source Coding of Correlated Gaussian Remote Sources

机译:相关高斯遥信源的分布式信源编码

获取原文
获取原文并翻译 | 示例

摘要

We consider the distributed source coding system for $L$ correlated memoryless Gaussian remote sources specified with $L$ correlated Gaussian random variables $X_{i}$, $i=1,2,ldots,L$. We deal with the case where each of $L$ distributed encoders cannot directly observe the source $X_{i}$ but its noisy version $Y_{i}=X_{i}+N_{i}$. Here, $N_{i}$ , $i=1,2,ldots, L$ are independent additive $L$ Gaussian noises also independent of $X_{i}$ , $i=1,2,ldots, L$. On this coding system, the determination problem of the rate distortion region remains open in general. In this paper, we derive explicit outer and inner bounds of the rate distortion region. We further find an explicit sufficient condition for those two bounds to match. We also study the sum rate part of the rate distortion region when the correlation has some symmetrical property. We derive an explicit upper bound of the sum rate part from the inner bounds of the rate distortion region. On a lower bound, we derive a new explicit bound by making full use of the symmetrical property of the correlation. We further derive an explicit necessary and sufficient condition for the lower bound to coincide with the upper bound.
机译:我们考虑分布式源编码系统,该分布式源编码系统用于由$ L $相关高斯随机变量$ X_ {i} $,$ i = 1,2,ldots,L $指定的$ L $相关无记忆高斯远程源。我们处理的情况是,每个$ L $分布式编码器都无法直接观察源$ X_ {i} $,但其噪声版本$ Y_ {i} = X_ {i} + N_ {i} $。在此,$ N_ {i} $,$ i = 1,2,ldots,L $是独立的加性$ L $高斯噪声,也独立于$ X_ {i} $,$ i = 1,2,ldots,L $。在该编码系统上,速率失真区域的确定问题通常仍然存在。在本文中,我们得出了速率失真区域的显式外边界和内边界。我们进一步找到了两个边界匹配的显式充分条件。当相关具有某种对称性时,我们还研究了率失真区域的和率部分。我们从速率失真区域的内部边界得出求和速率部分的明确上限。在下限上,我们通过充分利用相关性的对称属性来推导新的显式界限。我们进一步得出一个明确的必要条件和充分条件,使下限与上限一致。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号