论文标题
通过拟合衍生衍生物的同步理想归一化曲线，DSINC拟合来拟合波形歧视
Waveform discrimination by fitting derivative of synchronized ideal normalized curves, dSINC fit
论文作者
论文摘要
DSINC提出了一种用于从多层闪烁体夹心设计中对测量数据的波形区分的替代算法。 DSINC试图通过将波形的整个增益部分的导数拟合到从训练数据中学到的理想波形，从而完全避免了特征提取的问题，从而解决了传统KNN波形歧视的特征提取步骤中与峰值敏感性有关的问题。
dSINC proposes an alternative algorithm for waveform discrimination of measurement data from multi-layer scintillator sandwich designs. dSINC attempts to solve problems related to noise and peaks-piling sensitivity in the feature extraction step of traditional KNN waveform discrimination, by fitting the derivative of the entire gain section of the waveform against ideal waveforms learned from training data and thereby completely sidestepping the problems of feature extraction.
