抄録
The wavelet-based algorithms are proposed for an on-line detection of a train of pulse signals corrupted by random noise. The key approach is to catch the time instant at which the pulse signal changes by computing the correlation between wavelet and observation data. The effectiveness of the proposed algorithms are confirmed by numerical simulation experiments.
