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Pulse Shape Discrimination Techniques Based on Cross-Correlation and Principal Component Analysis
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 38 - Number 5 |
| Year of Publication: 2012 |
| Authors: H. Saleh, A. yahya, M. Sayed, M. Ashour |
10.5120/4682-6804
|
H. Saleh, A. yahya, M. Sayed, M. Ashour . Pulse Shape Discrimination Techniques Based on Cross-Correlation and Principal Component Analysis. International Journal of Computer Applications. 38, 5 ( January 2012), 6-11. DOI=10.5120/4682-6804
Abstract
Two Pulse Shape Discrimination (PSD) techniques are proposed based on Cross Correlation (CC) and Principal Component Analysis (PCA). In CC-based PSD, two schemes are proposed to discriminate between different decay scintillation pulses. The first CC-based scheme is applied to digitized scintillation pulses in time-domain with different numbers of samples ranging from the last two samples up to the full length. The second CC-based scheme is applied to frequency components of the scintillation pulses, where pulses are transformed using one of the following transforms; Discrete Sine Transform (DST), Discrete Cosine Transforms (DCT), Discrete Wavelet Transforms (DWT), and Fast Fourier Transform (FFT). On the other hand, in PCA-based PSD technique, two schemes are applied to the digitized pulses in time domain and the transformed pulses coefficients in the frequency domain, respectively, as in the previous sequence.
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