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Theoretical description of logical stochastic resonance and its enhancement: Fast Fourier transform filtering method.
Yu, Dong; Zhan, Xuan; Yang, Li-Jian; Jia, Ya.
Afiliación
  • Yu D; Department of Physics and Institute of Biophysics, Central China Normal University, Wuhan 430079, China.
  • Zhan X; Department of Physics and Institute of Biophysics, Central China Normal University, Wuhan 430079, China.
  • Yang LJ; Department of Physics and Institute of Biophysics, Central China Normal University, Wuhan 430079, China.
  • Jia Y; Department of Physics and Institute of Biophysics, Central China Normal University, Wuhan 430079, China.
Phys Rev E ; 108(1-1): 014205, 2023 Jul.
Article en En | MEDLINE | ID: mdl-37583163
Over the past decade, dynamic schemes have been proposed for the use of bistable systems in the design of logic devices. A bistable system in a noisy background can operate as a reliable logic gate in a moderate noise level, which is called a logical stochastic resonance (LSR). In this paper, we theoretically explore the emergence of LSR in general bistable systems and identify the dynamical mechanisms of LSR. The timescale relationship between the measured time and the mean first-pass time of two-state transitions is a key condition in determining whether the system is reliable. Furthermore, we demonstrate that the stability of the logic operation can be significantly improved by choosing the appropriate filtering method. Low-pass filtered noise-driven systems are more stable than Gaussian white noise. However, band-pass and high-pass filtered noise are harmful to the stability of the system due to the filtering of low-frequency components. Our theoretical and numerical simulation results offer perspectives for the development of logic devices.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Phys Rev E Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Phys Rev E Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos