  The problem of known signal detection in Additive White Gaussian Noise is
considered. In this paper a new detection algorithm based on Discrete Wavelet
Transform pre-processing and threshold comparison is introduced. Current
approaches described in [7] use the maximum value obtained in the wavelet
domain for decision. Here, we use all available information in the wavelet
domain with excellent results. Detector performance is presented in Probability
of detection curves for a fixed probability of false alarm.
