Cargando…
Benchmark for Peak Detection Algorithms in Fiber Bragg Grating Interrogation and a New Neural Network for its Performance Improvement
This paper presents a benchmark for peak detection algorithms employed in fiber Bragg grating spectrometric interrogation systems. The accuracy, precision, and computational performance of currently used algorithms and those of a new proposed artificial neural network algorithm are compared. Centroi...
Autores principales: | Negri, Lucas, Nied, Ademir, Kalinowski, Hypolito, Paterno, Aleksander |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231308/ https://www.ncbi.nlm.nih.gov/pubmed/22163806 http://dx.doi.org/10.3390/s110403466 |
Ejemplares similares
-
A Fiber Bragg Grating Interrogation System with Self-Adaption Threshold Peak Detection Algorithm
por: Zhang, Weifang, et al.
Publicado: (2018) -
Influence of Fiber Bragg Grating Spectrum Degradation on the Performance of Sensor Interrogation Algorithms
por: Lamberti, Alfredo, et al.
Publicado: (2014) -
PLC-Based Arrayed Waveguide Grating Design for Fiber Bragg Grating Interrogation System
por: Li, Ke, et al.
Publicado: (2022) -
High-Speed Interrogation for Large-Scale Fiber Bragg Grating Sensing
por: Hu, Chenyuan, et al.
Publicado: (2018) -
Optical Designs with Curved Detectors for Fiber Bragg Grating Interrogation Monitors
por: Muslimov, Eduard, et al.
Publicado: (2020)