Digital signal processing method based on Maxi-Mini distance algorithm. (1st July 2010)

• Record Type: Journal Article
• Authors: Shaaban, Noha
• Is Part Of: International journal of signal and imaging systems engineering. Volume 2:Number 4(2009)
• Page Start: 196
• Page End: 200
• Publication Date: 2010-07-01
• Subjects: ADC -- maxi-mini distance -- DSP -- digital signal processing -- semiconductor detectors -- clustering algorithms -- waveforms -- waveform clusters -- signal shape variation; Signal processing -- Periodicals; Imaging systems -- Periodicals; Information theory -- Periodicals; 621.3822
• Languages: English
• ISSNs: 1748-0698

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.