Two types of wavelet-based algorithms are proposed for an online detection
of a train of unknown pulse signals corrupted by random noise. The mechanis
m of detecting singularities hidden in the noisy observation data is analyz
ed, and the performance of the proposed signal detectors is evaluated. Simu
lation studies are provided to confirm the effectiveness of the algorithms.