一种可实现堆积脉冲分离的基于反卷积的信号重建方法
A deconvolution based signal reconstruction capable of piled-up pulse separation
AI总结：
本研究针对高计数率闪烁探测器的堆积脉冲问题，提出基于反卷积的高效重建算法，结合定点迭代提取脉冲响应并重建脉冲参数，算法通用性强可拓展至多领域。
摘要：
本研究提出了一种计算高效的反卷积算法，能够在具有全数字化波形的高计数率闪烁探测器系统中重建堆积事件。研究提出并采用了一种定点迭代算法，用于求解信号的特性，这些特性后续会用于信号预处理阶段。通过迭代方法，即使从严重堆积的事件波形中也能成功提取脉冲响应函数。脉冲时间与幅度重建的方法基于反卷积算法，本文对该算法进行了详细描述并给出了部分结果。所提出的算法具有通用性，只需少量修改甚至无需修改即可成功应用于其他领域。
英文摘要：
This study provides a computationally effective deconvolution algorithm capable to reconstruct piled-up events in scintillating detector systems with high count rate where fully digitized waveforms are available. A fixed-point iteration algorithm is suggested and used to find properties of the signals which are later used during the signal preprocessing stage. The impulse response function is successfully extracted even from heavily piled-up event waveforms using an iterative approach. A methodology for pulse time and amplitude reconstruction is based on a deconvolution algorithm, which is described in details and some results are presented. The presented algorithms are meant to be general and might be successfully applied to other fields with minor to no modifications.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
