Journal ArticleDOI
Observation of stochastic resonance in a ring laser.
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TLDR
The first observation of stochastic resonance in an optical device, the bidirectional ring laser, is reported and the addition of injected noise can lead to an improved signal-to-noise ratio.Abstract:
We report the first observation of stochastic resonance in an optical device, the bidirectional ring laser. The experiment exploits a new technique to modulate periodically the asymmetry between the two counter-rotating lasing modes. The measurements verify that the addition of injected noise can lead to an improved signal-to-noise ratio (relative to that observed with no externally injected noise).read more
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Journal ArticleDOI
Characterizing stochastic resonance in a triple cavity.
TL;DR: In this article, the spectral amplification of a triple cavity was analyzed for stochastic resonance in driven nonlinear systems, and the authors found that the cavity parameters can eliminate or regulate the maximum of η and the noise intensity that induces this maximum.
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Coherent stochastic resonance in the presence of a field
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Aperiodic signals processing via parameter-tuning stochastic resonance in a photorefractive ring cavity
TL;DR: In this paper, an aperiodic stochastic resonance based on an optical bistable system is numerically investigated, and the numerical results show that a parameter-tuning process can be realized by choosing the appropriate optical Bistable parameters, which performs well in reconstructing a periodic signal from a very high level of noise background.
Nonlinear and stochastic dynamics of semiconductor lasers: Modulation, transient dynamics and synchronization
TL;DR: In this paper, the interplay of deterministic nonlinear dynamics, current modulation and noise leads to phenomena such as low frequency fluctuations, stochastic and coherent resonances, excitability and synchronization.
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Online Signal Denoising Using Adaptive Stochastic Resonance in Parallel Array and Its Application to Acoustic Emission Signals
TL;DR: In this paper, the original noisy input with additionally applied noise is adaptively scaled, so that the total noise level matches the optimal level that is analytically predicted from a generalized model to robustly enhance signal denoising performance for a wide range of input amplitudes.