Browsing by Author "Fendrik, Alejandro J."

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    Stochastic resonance and brownian ratchets
    (2005) Fendrik, Alejandro J.; Romanelli, Lilia; Perazzo, Roberto P. J.
    "We discuss the connections between Brownian ratchets (BR) and stochastic resonance (SR). We consider a periodic potential energy landscape with no left–right symmetry that is driven by an external force which can be derived from a potential that is periodic both in time and space. We show that this system presents two thermal enhancements within two different windows of the temperature. One is associated with a ‘‘coherent diffusion’’ by which particles jump back and forth between the minima of the periodic potential in synchrony with the external driving. The other is instead associated with a ‘‘coherent directional transport’’ by which particles hop synchronically from one minimum of the ratchet to the next. We calculate the current and the diffusion coefficients and show how transport undergoes a resonant enhancement. While the former is always present, the second only appears when left–right symmetry is broken."
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    Time delay properties of stochastics-resonance information transmission line
    (2008) Ibáñez, Santiago Agustín; Fendrik, Alejandro J.; Fierens, Pablo Ignacio; Grosz, Diego; Perazzo, Roberto P. J.
    "In this paper we analyze the properties of a chain of forward-coupled bi-stable over-damped oscillators. It is well known that this system displays stochastic resonance and behaves as a transmission line when an adequate amount of noise is added to each oscillator, and the first oscillator is driven by a periodic (sine) modulating signal. By driving the first oscillator with a modulated sequence of random non-return-to-zero (NRZ) bits, we start by showing that the system exhibits a stochastic-resonance behavior. Then we show that bit delays can be adjusted by either changing the amount of noise and/or the coupling intensity between adjacent oscillators. We find that the system can be regarded as a tunable delay line for a broad range of noise and coupling parameters, a feature that may find applications in information processing and bit regeneration."