Skip to Main Content
The robuston scheme is a novel reduced-detail paradigm for nonstationary signal modeling/processing with enhanced statistical stability. Here, we apply the robuston scheme to the problem of detecting a nonstationary random signal in white Gaussian noise. We propose two different "robuston detectors" along with signal-adaptive online implementations that perform online estimation of the signal statistics from a single observation. The performance of adaptive robuston detectors is assessed through numerical simulations.