Characterization and analysis of sensor data using recurrence network analysis
Sivarit Sultornsanee · 2012
For the past many decades, several concepts and measures for studying nonlinear sensor data have been proposed and investigated. There have been many attempts to understand behavior, reliability, and performance of sensor data. This dissertation presents novel methodologies for analyzing, classifying, and recognizing patterns of nonlinear sensor data based on recurrence network analysis.