Nardo, Lucas, Nepomuceno, Erivelton, Muñoz, Daniel, Butusov, Denis and Arias-Garcia, Janier (2023) A Hardware-Efficient Perturbation Method to the Digital Tent Map. Electronics, 12 (8). p. 1953. ISSN 2079-9292
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Official URL: https://doi.org/10.3390/electronics12081953
Abstract
Digital chaotic systems used in various applications such as signal processing, artificial intelligence, and communications often suffer from the issue of dynamical degradation. This paper proposes a solution to address this problem in the digital tent map. Our proposed method includes a simple and optimized hardware architecture, along with a hardware-efficient perturbation method, to create a high-performance computing system that retains its chaotic properties. We implemented our proposed architecture using an FPGA (Field-Programmable Gate Array) and the 1’s complement fixed-point format. Our results demonstrate that the implemented digital circuit reduces logical resource consumption compared to state-of-the-art references and exhibits pseudo-random nature, as confirmed by various statistical tests. We validated our proposed pseudo-random number generator in a hardware architecture for particle swarm optimization, demonstrating its effectiveness.
Item Type: | Article |
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Keywords: | chaotic map; computer arithmetic; digital system; hardware architecture; pseudo-random number generator; particle swarm optimization; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering |
Item ID: | 18534 |
Identification Number: | 10.3390/electronics12081953 |
Depositing User: | Erivelton Nepomuceno |
Date Deposited: | 16 May 2024 14:01 |
Journal or Publication Title: | Electronics |
Publisher: | MDPI |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/18534 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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