  The Bernoulli-Gaussian (BG) model is practical to characterize impulsive
noises that widely exist in various communication systems. To estimate the BG
model parameters from noise measurements, a precise impulse detection is
essential. In this paper, we propose a novel blind impulse detector, which is
proven to be fast and accurate for BG noise in underspread communication
channels.
