Compressive sensing (CS) has become a popular signal processing technique and has
extensive applications in numerous fields such as wireless communications, image …

Compressive sensing (CS) has been widely studied and applied in many fields. Recently,
the way to perform secure compressive sensing (SCS) has become a topic of growing …

In this paper, a novel approach for generating the secure measurement matrix for
compressive sensing (CS) based on linear feedback shift register (LFSR) is presented. The …

The applications of compressive sensing (CS) in the field of information security have
captured a great deal of researchers' attention in the past decade. To supply guidance for …

Compressed Sensing may offer confidentiality with a good level of security that comes at
limited extra costs. By this means, encryption can be added right into the sampling process …

The compressive sensing method presents itself as a promising technique in many fields
specially for the Internet of Things and Wireless sensor networks applications. That is …

This paper introduces a new framework to construct fast and efficient sensing matrices for
practical compressive sensing, called Structurally Random Matrix (SRM). In the proposed …

Compressive sensing (CS) has been viewed as a promising technology to greatly improve
the communication efficiency of data gathering in wireless sensor networks. However, this …

The compressed sensing (CS) paradigm unifies sensing and compression of sparse signals
in a simple linear measurement step. Reconstruction of the signal from the CS …

This paper devotes to the image compression and encryption problems. We develop a novel
hybrid scheme based on block compressive sensing. Concentrate on taking full advantage …