The phenomenon of stochastic resonance (SR) is exhibited by multistable nonlinear systems excited by a combination of a weak signal and noise. With a proper choice of the system parameters, SR can lead to an enhancement of signal-to-noise ratio (SNR) if the noise is non-Gaussian.
In this talk, we present methods of exploiting SR in 3-level and 4-level quantizers for detection of weak signals in non-Gaussian noise. For the detection of sinusoidal signals and narrowband random signals, a combination of SR and matched filtering is used. A combination of SR and wavelet based detection is used for the detection of transient signals.