dc.contributor.author | Mannatunga, KS | |
dc.contributor.author | Valinoti, B | |
dc.contributor.author | Samayoa, WF | |
dc.contributor.author | Crespo, ML | |
dc.contributor.author | Cicuttin, A | |
dc.contributor.author | Kamdem, JF | |
dc.contributor.author | Garcia, LG | |
dc.contributor.author | Carrato, S | |
dc.date.accessioned | 2023-06-26T04:18:24Z | |
dc.date.available | 2023-06-26T04:18:24Z | |
dc.date.issued | 2022 | |
dc.identifier.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 | en_US |
dc.identifier.issn | 1424-8220 | en_US |
dc.identifier.uri | http://dl.lib.uom.lk/handle/123/21158 | |
dc.description.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. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | MDPI | en_US |
dc.subject | digital signal processing (DSP) | en_US |
dc.subject | digital pulse processor (DPP) | en_US |
dc.subject | X-ray spectroscopy | en_US |
dc.subject | silicon drift detectors | en_US |
dc.subject | pulse-height analysis | en_US |
dc.subject | FIR design | en_US |
dc.title | Data analysis and filter optimization for pulse-amplitude measurement: a case study on high-resolution x-ray spectroscopy | en_US |
dc.type | Article-Full-text | en_US |
dc.identifier.year | 2022 | en_US |
dc.identifier.journal | Sensors | en_US |
dc.identifier.issue | 13 | en_US |
dc.identifier.volume | 22 | en_US |
dc.identifier.pgnos | 476[20p.] | en_US |
dc.identifier.doi | https://doi.org/10.3390/s22134776 | en_US |