计算机工程与应用2016，Vol.52Issue(16)：116-120,5.DOI:10.3778/j.issn.1002-8331.1409-0419
基于Legendre序列的确定性测量矩阵
Legendre sequence based deterministic measurement matrix
崔翔 1万洪杰 1肖亮 1谢晓明1
作者信息
- 1. 北京化工大学 信息科学与技术学院，北京 100029
- 折叠
摘要
Abstract
For the past few years, Compressed Sensing(CS)has been developed very fast. In many applications of CS, the data measurement can be achieved by filtering and sub-sampling. In this paper, a new matrix with Legendre Sequence is constructed, which is based on Convolutional Compressed Sensing. After sub-sampling, a new deterministic measurement matrix is gotten. For signals that are sparse, the proposed matrix can guarantee a stable recovery. The results show that, the proposed matrix can offer comparable performance with a random Gaussian matrix in K-sparse signal reconstruction.关键词
确定性测量矩阵/卷积压缩感知/相关性/勒让德序列Key words
deterministic matrix/convolutional compressed sensing/coherence/Legendre sequence分类
信息技术与安全科学引用本文复制引用
崔翔,万洪杰,肖亮,谢晓明..基于Legendre序列的确定性测量矩阵[J].计算机工程与应用,2016,52(16):116-120,5.
