Digital Filtering for Noise Reduction in Nuclear Detectors

Specific algorithms for the elaboration and the digital filtering of signals generated in nuclear-particle detectors have been studied and optimized. These algorithms will contribute to build up a data acquisition system to be drawn on the next generation of hadron physics experiments. Working in a non-stationary environment, adaptive filters can optimize in a dynamic way the retrieval of information in the tracking of charged particles. In this paper, the performances of different simulated filters are presented, and their simulations discussed.