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...
Main Authors: | Aleksander Paterno, Hypolito Kalinowski, Lucas Negri, Ademir Nied |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2011-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/11/4/3466/ |
Similar Items
-
A Fiber Bragg Grating Interrogation System with Self-Adaption Threshold Peak Detection Algorithm
by: Weifang Zhang, et al.
Published: (2018-04-01) -
Novel Methods To Interrogate Fiber Bragg Grating Sensors
by: Mahesh, Kondiparthi
Published: (2013) -
Influence of Fiber Bragg Grating Spectrum Degradation on the Performance of Sensor Interrogation Algorithms
by: Alfredo Lamberti, et al.
Published: (2014-12-01) -
Review and Analysis of Peak Tracking Techniques for Fiber Bragg Grating Sensors
by: Daniele Tosi
Published: (2017-10-01) -
Performance analysis of peak tracking techniques for fiber Bragg grating interrogation systems
by: Daniele Tosi, et al.