Ampliude based compressive sensing for UWB noise radar signal

Wu, Ji; Liang, Qilian; Chen, Dechang; Cheng, Xiuzhen; Narayanan, Ram M.

doi:10.1109/glocomw.2012.6477794

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“…Namely, the constructing process only needs eight Kronecker product operations. So this method is simpler than commonly used measurement matrice construction methods and has relatively smaller amount of calculation [6,7].…”

Section: ð5þmentioning

confidence: 99%

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

Zhang

Xiang

Wang

et al. 2013

J Wireless Com Network

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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.

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Section: ð5þmentioning

confidence: 99%