Title: Digital signal processing method based on Maxi-Mini distance algorithm

Authors: Noha Shaaban

Addresses: Department of Nuclear Safeguards and Physical Protection, NCNSRC, The Egyptian Atomic Energy Authority, P.O. Box 7551, Nasr City 11762, Cairo, Egypt

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.

Keywords: ADC; maxi-mini distance; DSP; digital signal processing; semiconductor detectors; clustering algorithms; waveforms; waveform clusters; signal shape variation.

DOI: 10.1504/IJSISE.2009.033760

International Journal of Signal and Imaging Systems Engineering, 2009 Vol.2 No.4, pp.196 - 200

Received: 01 Oct 2008
Accepted: 24 Apr 2009
Published online: 30 Jun 2010 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article