The nonlinear stochastic resonance system has the ability to take advantage of background noise to enhance the weak signal among it. It provides the new approach to detect the weak signal embedded with heavy noise. This study proposes a new Varying Parameter Stochastic Resonance (VPSR) model. The model performs well in the detection of a time-varying signal with noise as well as the denoising and signal recovery. This study takes the determination coefficient and cross correlation coefficient as the criteria and analyzes the influence of different parameters variation on the system output. The simulation results indicate the model performs better in the time-varying signal recovery than the traditional one. The proposed method develops the area of time-varying signal detection with stochastic resonance which can be hoped to be widely used in the aperiodic signal processing, radar communication, etc. due to its superiority.
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