Josephson Junction Model: FPGA Implementation and Chaos-Based Encryption of sEMG Signal through Image Encryption Technique. (28th February 2022)

• Record Type: Journal Article
• Authors: Welba, Colince; Ramachandran, Dhanagopal; Noura, Alexendre; Tamba, Victor Kamdoum; Kingni, Sifeu Takougang; Ntsama, Pascal Eloundou; Ele, Pierre
• Other Names: Akgul Akif Academic Editor.
• Is Part Of: Complexity. Volume 2022(2022)
• Publication Date: 2022-02-28
• Subjects: Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1155/2022/4510236
• Languages: English
• ISSNs: 1076-2787

Abstract

Abstract : The field programmable gate array (FPGA) implementation of the nonlinear resistor-capacitor-inductor shunted Josephson junction (NRCISJJ) model and its application to sEMG (Surface ElectroMyoGraphic) signal encryption through image encrypted technique are reported in this study. Thanks to the numerical simulations and FPGA implementation of the NRCISJJ model, different shapes of chaotic attractors are revealed by varying the parameters. The chaotic behaviour found in the NRCISJJ model is used to encrypt the sEMG signal through image encryption technique. The results obtained are interesting and open up many perspectives.