A New Waveform Signal Processing Method Based on Adaptive Clustering-Genetic Algorithms

Autor: Noha Shaaban, Fukuzo Masuda, Hidetsugu Morota
Rok vydání: 2006
Předmět:
Zdroj: Volume 3: Structural Integrity; Nuclear Engineering Advances; Next Generation Systems; Near Term Deployment and Promotion of Nuclear Energy.
DOI: 10.1115/icone14-89866
Popis: We present a fast digital signal processing method for numerical analysis of individual pulses from CdZnTe compound semiconductor detectors. Using Maxi-Mini Distance Algorithm and Genetic Algorithms based discrimination technique. A parametric approach has been used for classifying the discriminated waveforms into a set of clusters each has a similar signal shape with a corresponding pulse height spectrum. A corrected total pulse height spectrum was obtained by applying a normalization factor for the full energy peak for each cluster with a highly improvements in the energy spectrum characteristics. This method applied successfully for both simulated and real measured data, it can be applied to any detector suffers from signal shape variation.Copyright © 2006 by ASME
Databáze: OpenAIRE