Detection of transient signals in shallow ocean using suprathreshold stochastic resonance and wavelet packet transform

In this paper, we propose the use of the phenomenon of suprathreshold stochastic resonance (SSR) in the detection of a transient signal in a noisy environment. An SSR pre-processor consisting of an array of 2-level quantizers is used to boost the SNR of the data before being transformed by a translation invariant wavelet packet transform (TIWPT). The maximum magnitude coefficient of the TIWPT output is used as a test statistic. Simulation results show that this detector performs better than a detector using a stochastic resonance (SR) pre-processor with a TIWPT detector.