计算机工程与应用Issue(9)：200-202,217,4.DOI:10.3778/j.issn.1002-8331.1205-0325
基于贝叶斯压缩感知的自适应测量算法
Adaptive measurement algorithm based on Bayesian Compressive Sensing
郭鹏1
作者信息
- 1. 中国电子信息产业发展研究院，北京 100048
- 折叠
摘要
Abstract
To overcome the challenge of traditional Compressive Sensing without adaptive measurement ability, the theory of Bayesian Compressive Sensing is briefly introduced. An evaluation index based on differential entropy of estimated signal is devised and the adaptive compressive measurement procedure without any prior information about the measured signals is pre-sented in block manner. Numerical simulations on random step signal verify that the adaptive algorithm has good performance. This algorithm offers great potential for adaptive compressive measuring.关键词
压缩感知/贝叶斯估计/自适应测量/微分熵/重构误差Key words
Compressive Sensing(CS)/Bayesian estimation/adaptive measurement/differential entropy/reconstruction error分类
数理科学引用本文复制引用
郭鹏..基于贝叶斯压缩感知的自适应测量算法[J].计算机工程与应用,2013,(9):200-202,217,4.
