Title :
A machine-learning approach to time discrimination
Author_Institution :
Siemens Mol. Imaging, Knoxville, TN, USA
fDate :
Oct. 30 2010-Nov. 6 2010
Abstract :
Machine-Learning methods can be used to provide fast and accurate time discrimination of pulses from detectors used in medical scanner applications. This approach uses multiple samples before and after a pulse crosses a threshold to estimate the starting time of an input pulse.
Keywords :
learning (artificial intelligence); medical computing; input pulse; machine-learning methods; medical scanner applications; time discrimination; Computational fluid dynamics; Finite impulse response filter; Information filters; Low pass filters; Noise; Timing; Training;
Conference_Titel :
Nuclear Science Symposium Conference Record (NSS/MIC), 2010 IEEE
Conference_Location :
Knoxville, TN
Print_ISBN :
978-1-4244-9106-3
DOI :
10.1109/NSSMIC.2010.5874156
