电子学报Issue(10)：2041-2050,10.DOI:10.3969/j.issn.0372-2112.2013.10.027
压缩感知中确定性测量矩阵构造算法综述
A Survey on Deterministic Measurement Matrix Construction Algorithms in Compressive Sensing
摘要
Abstract
Measurement matrix ,whose performance can affect the compression and reconstruction of original signal ,plays a key role in compressive sensing .Most of the existing measurement matrices are random ones ,which have shortcomings in practical application ,such as large storage capacity ,low efficiency and difficulty when implemented in the hardware .Therefore ,it is of im-portant practical significance to construct deterministic measurement matrix for the promotion and application of the compressive sensing theory .In this paper ,the existing construction algorithms for deterministic measurement matrix are reviewed ,introduced and classified in detail .Finally the performances of all algorithms are summarized in terms of common indicators .关键词
压缩感知/确定性测量矩阵/有限等距性质/信号重构Key words
compressive sensing(CS)/deterministic measurement matrix/restricted isometry property/signal reconstruction分类
信息技术与安全科学引用本文复制引用
王强,李佳,沈毅..压缩感知中确定性测量矩阵构造算法综述[J].电子学报,2013,(10):2041-2050,10.基金项目
国家自然科学基金 （）
