Input-Output Signal-to-Noise Ratio Curves for Stochastic Resonance Phenomena

This implementation allows modification of parameters to generate input-output signal-to-noise ratio curves that exhibit stochastic resonance phenomena. By adjusting parameters such as noise intensity, signal amplitude, and system damping coefficients, users can control the strength and frequency characteristics of the resonance response. The code typically implements a bistable system model (often using Langevin equations or double-well potential functions) where careful parameter tuning is essential for observing the characteristic SNR enhancement effect. Parameter modifications should be performed judiciously, as improper changes may disrupt the stochastic resonance condition and prevent the system from vibrating properly. Before making any adjustments, thoroughly analyze each parameter's influence on the system dynamics to ensure valid resonance behavior. Key functions in the implementation may include noise generation algorithms, nonlinear system solvers, and SNR calculation routines based on power spectral density analysis.