Stochastic resonance in a time-delayed Logistic growth model driven by multiplicative periodic signal and multiplicative and additive noise

The stochastic resonance in a time-delayed Logistic growth model subject to correlated multiplicative and additive white noise as well as to multiplicative periodic signal is investigated. Using small time delay approximation, we get the expression of the signal-to-noise ratio (SNR). It is found that the SNR is a non-monotonic function of the delayed times, of the system parameters, of the intensities of the multiplicative and additive noise, as well as of the correlate strength of the two noises.