Data Analysis and Filter Optimization for Pulse-Amplitude Measurement: A Case Study on High-Resolution X-ray Spectroscopy.
FIR design
X-ray spectroscopy
digital pulse processor (DPP)
digital signal processing (DSP)
pulse-height analysis
silicon drift detectors
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
24 Jun 2022
24 Jun 2022
Historique:
received:
01
06
2022
revised:
20
06
2022
accepted:
22
06
2022
entrez:
9
7
2022
pubmed:
10
7
2022
medline:
14
7
2022
Statut:
epublish
Résumé
In this study, we present a procedure to optimize a set of finite impulse response filter (FIR) coefficients for digital pulse-amplitude measurement. Such an optimized filter is designed using an adapted digital penalized least mean square (DPLMS) method. The effectiveness of the procedure is demonstrated using a dataset from a case study on high-resolution X-ray spectroscopy based on single-photon detection and energy measurements. The energy resolutions of the
Identifiants
pubmed: 35808271
pii: s22134776
doi: 10.3390/s22134776
pmc: PMC9269590
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Références
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pubmed: 24089889
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pubmed: 29271775