The research of Kronecker product-based measurement matrix of compressive sensing

被引：0

作者：

Zhang, Baoju ^{[1
]}

Tong, Xiang ^{[1
]}

Wang, Wei ^{[1
]}

Xie, Jiazu ^{[1
]}

机构：

[1] Tianjin Normal Univ, Coll Phys & Elect Informat, Tianjin 300387, Peoples R China

来源：

EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING | 2013年

基金：

美国国家科学基金会;

关键词：

Measurement matrix; Compressive sensing; Kronecker product; Hardware implementation; SPARSITY;

D O I：

10.1186/1687-1499-2013-161

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The theory of compressive sensing is briefly introduced, and some construction methods for measurement matrix are deduced. A measurement matrix based on Kronecker product is devised, and it has been proved in mathematical proof. Numerical simulations on 2-D image verify that the proposed measurement matrix has better performance in storage space, construction time, and image reconstruction effect when compared with commonly used matrices in compressive sensing. This novel measurement matrix offers great potential for hardware implementation of compressive sensing in image and high-dimensional signal.

引用

页数：5

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