火力与指挥控制2012，Vol.37Issue(1)：131-133,3.
基于多尺度压缩感知的信号重构
Signal Reconstruction Based on Multiscale Compressed Sensing
摘要
Abstract
Compressed Sensing is a new sampling theorem, it points out that if a signal can be compressed under some conditions, that a very accurate reconstruction can be obtained from a relatively small number of non-traditional samples. On the basis of compressed sensing, the paper presents multiscale compressed sensing- The numerical experiments demonstrate that multiscale compressed sensing can give better quality reconstruction than a literal deployment of the compressed sensing methodology.关键词
压缩感知/多尺度/信号重构Key words
compressed sensing/ multiscale/ signal reconstruction分类
信息技术与安全科学引用本文复制引用
石建波,李小波,张宁..基于多尺度压缩感知的信号重构[J].火力与指挥控制,2012,37(1):131-133,3.
