ORCID Profile
0000-0003-4745-8361
Current Organisation
Dalian University of Technology
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Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2017
Publisher: Elsevier BV
Date: 08-2018
Publisher: Springer Science and Business Media LLC
Date: 29-01-2019
Publisher: IOP Publishing
Date: 05-07-2023
Abstract: Among the encryption technologies with chaos theory, cellular automatons with feature of discrete dynamical system and easy implementation, have unique advantages. Based on the Elementary and Life-liked cellular automaton, a new image encryption scheme is proposed in this paper. In this scheme, encryption equations are space distributed according to a chaotic map, and pixels in different areas might be encrypted with distinct encryption kernels. This fashion can provide additional security for the whole system. The simulation results and security analysis demonstrate the effectiveness and advantages of the proposed cryptosystem.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2021
Publisher: SAGE Publications
Date: 07-2019
Abstract: In the past decades, compressed sensing emerges as a promising technique for signal acquisition in low-cost sensor networks. For prolonging the monitoring duration of biosignals, compressed sensing is also exploited for simultaneous s ling and compression of electrocardiogram signals in the wireless body sensor network. This article presents a comprehensive analysis of compressed sensing for electrocardiogram acquisition. The performances of involved important factors, such as wavelet basis, overcomplete dictionaries, and the reconstruction algorithms, are comparatively illustrated, with the purpose to give data reference for practical applications. Drawn from a bulk of comparative experiments, the potential of compressed sensing in electrocardiogram acquisition is evaluated in different compression levels, while preferred sparsifying basis and reconstruction algorithm are also suggested. Relative perspectives and discussions are also given.
Publisher: Hindawi Limited
Date: 2018
DOI: 10.1155/2018/4740174
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
No related grants have been discovered for Junxin Chen.