NUCLEAR TECHNIQUES, Volume. 47, Issue 1, 010403(2024)
Research and application of convolutional quasi-Gaussian pulse shaping filter algorithm
Fig. 1. Convolutional bipolar pulse shaping simulation for uni-exponential decay pulse signal
Fig. 2. Digital recursive algorithm implementation principle block diagram for convolutional quasi-Gaussian pulse shaping filter
Fig. 4. Logical block diagram for convolutional digital quasi-Gaussian pulse shaping filter
Fig. 5. Quasi-Gaussian and trapezoidal pulse shaping algorithms simulation with identical shaping pulse width
Fig. 6. Amplitude-frequency characteristics of quasi-Gaussian pulse shaping algorithm (a) Amplitude-frequency characteristics comparison between quasi-Gaussian and trapezoidal pulse shaping algorithms with identical peaking times, (b) Amplitude-frequency characteristics of quasi-Gaussian pulse shaping algorithms with different shaping parameters
Fig. 7. Measured nuclear pulse signal and quasi-Gaussian and trapezoidal pulse shaping
Fig. 8. Primitive energy spectrum (a), energy spectrum with trapezoidal pulse shaping (b) and quasi-Gaussian pulse shaping (c) from X-ray fluorescence analysis experiments of standard Mn sample
Fig. 9. Relationship between energy resolution and peaking time (a) and the relationship between energy resolution and X-ray tube current (b)
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Huaiping WANG, Jianbin ZHOU, Xianguo TUO, Ming WANG, Xueyuan WANG, Lin FENG. Research and application of convolutional quasi-Gaussian pulse shaping filter algorithm[J]. NUCLEAR TECHNIQUES, 2024, 47(1): 010403
Category: Research Articles
Received: Jun. 19, 2023
Accepted: --
Published Online: Mar. 7, 2024
The Author Email: ZHOU Jianbin (周建斌)