To address the problems of considerable redundancy and weak transmission security of multi-channel real-time vibration monitoring data of industrial robots, in this research a compressed sensing (CS)-based method to compress multi-channel industrial robot monitoring data has been proposed. Firstly, the multi-sensor data of the robot is fused into a comprehensive signal by the cross-correlation function fusion algorithm, which can significantly reduce the signal redundancy among sensors and improve the signal quality. Then, the discrete cosine transform matrix is used for sparse decomposition analysis of the synthetic signal. Finally, CS technology and chaotic matrix are used to encrypt and compress the integrated signal to achieve efficient encryption transmission. The experimental results show that the method can significantly reduce the amount of data transmitted and enhance the encryption performance during transmission without sacrificing helpful information and ensuring signal transmission efficiency and security.
Single-pixel imaging is a novel imaging technique that can obtain image information through a single-pixel detector. It can effectively avoid the problem of lack of high-quality area array detectors in the terahertz band, and has attracted the attention of a large number of researchers in recent years. In this paper, the basic imaging principles, terahertz beam modulation methods and typical image reconstruction algorithms for terahertz single-pixel imaging are introduced and discussed, as well as its research progresses and developing trends.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.