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An algorithm based on wavelet packet transform is proposed for detecting a deterministic transient signal with unknown parameters in non-Gaussian noise. Expressions for probability of detection and probability of false alarm are derived, and performance results are presented in the form of ROC plots for detection of damped sinusoids in different noise distributions. It is shown that, for Gaussian...
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...
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