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- Publisher
- Inderscience Publishers
- Copyright
- Copyright © Inderscience Enterprises Ltd. All rights reserved
- ISSN
- 1748-0698
- eISSN
- 1748-0701
- DOI
- 10.1504/IJSISE.2009.03376
- Publisher site
- See Article on Publisher Site
Abstract
A fast digital signal processing method for numerical analysis of individual signals from CdZnTe compound semiconductor detectors is introduced in this paper. Using Maximum-Minimum (Maxi-Mini) Distance Algorithm, a parametric approach has been used for classifying the 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 normalisation factor for the full-energy peak for each cluster with much improvement in the energy spectrum characteristics. This method is applied successfully for a real measured data and can be applied to any detector that suffers from signal shape variation.
Journal
International Journal of Signal and Imaging Systems Engineering – Inderscience Publishers
Published: Jan 1, 2009