Conditional approximate message passing with side information
Conditional approximate message passing with side information
复制标题
带辅助信息的条件近似消息传递
DOI：
10.1109/acssc.2017.8335374
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
T. Woolf
中科院分区：
文献类型：
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作者：
D. Baron;A. Ma;D. Needell;Cynthia Rush;T. Woolf
在信息论中，辅助信息（SI）通常用于提高通信系统的效率。这项工作为一类贝叶斯最优信号恢复算法（称为条件近似消息传递 (CAMP)）奠定了框架，该算法利用了可用的 SI。 CAMP 涉及线性逆问题，其中噪声、线性测量使用具有独立且相同分布条目的测量矩阵获取未知输入向量，并且 SI 向量遵循与输入的符号相关性。尽管推导过程简单直接，但我们的 CAMP 算法比其他已提出结合 SI 的信号恢复算法获得了更低的均方误差。 CAMP 的良好性能归因于其贝叶斯最优特性，这在以前的 SI 辅助信号恢复方法中是不存在的。
In information theory, side information (SI) is often used to increase the efficiency of communication systems. This work lays the framework for a class of Bayes-optimal signal recovery algorithms referred to as conditional approximate message passing (CAMP) that make use of available SI. CAMP involves a linear inverse problem, where noisy, linear measurements acquire an unknown input vector using a measurement matrix with independent and identically distributed entries, and the SI vector obeys a symbol-wise dependence with the input. Despite having a simple and straightforward derivation, our CAMP algorithm obtains lower mean squared error than other signal recovery algorithms that have been proposed to incorporate SI. The good performance of CAMP is due its Bayes-optimality properties, which are not present in previous approaches to SI-aided signal recovery.
带有辅助信息的压缩感知线性投影的设计
DOI：
10.1109/isit.2016.7541383
发表时间：
2016
期刊：
--
影响因子：
--
作者：
Chen M
通讯作者：
Chen M