期刊
出版社
ELSEVIER
DOI: 10.1016/j.nima.2019.01.028
关键词
Digital pulse processing; Pulse filtering; Noise; Dimensionality reduction; SVD
类别
资金
- Spanish Administration [ESP2017-88436-R]
This paper presents a novel methodology to filter pulses coming from particle detectors. It is based on variable-intime convolutions in which one of the operands is the input pulse and the other is a vector that changes with every convolution step. This is equivalent to multiply every incoming pulse by a filtering matrix. The coefficients of this matrix are computed by applying a Singular Value Decomposition (SVD) factorization over a set of training pulses. A detailed explanation of this SVD-filtering methodology, a noise filtering analysis, simulations and filtering of pulses coming from a neutron monitor were carried out to verify its feasibility.
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