Simulation of Weak Signal Detection via Stochastic Resonance
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In this study, we conduct a simulation of weak signal detection based on stochastic resonance and provide the source code implementing the fourth-order Runge-Kutta algorithm for solving the Langevin equation. The objective of this research is to explore methods for detecting weak signals while delivering a practical algorithmic solution. The core implementation features numerical integration of the Langevin equation using a fourth-order Runge-Kutta method, which ensures high precision in simulating stochastic resonance dynamics. By employing stochastic resonance techniques, we enhance signal detection capabilities and improve system performance. The provided source code allows other researchers to reference and utilize this algorithm for their own investigations, facilitating advancements in weak signal detection and establishing a foundation for future studies.
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