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    A Hardware-Efficient Perturbation Method to the Digital Tent Map


    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
    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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