Abstract:
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 K𝛼
and K𝛽
lines of the Manganese energy spectrum have been improved by approximately 20%
, compared to the reference values obtained by fitting individual photon pulses with the corresponding mathematical model.
Citation:
Mannatunga, K. S., Valinoti, B., Florian Samayoa, W., Crespo, M. L., Cicuttin, A., Folla Kamdem, J., Garcia, L. G., & Carrato, S. (2022). Data Analysis and Filter Optimization for Pulse-Amplitude Measurement: A Case Study on High-Resolution X-ray Spectroscopy. Sensors, 22(13), Article 13. https://doi.org/10.3390/s22134776
