Signal Recovery Using Neural Networks for DSP Based Infrared Gas Sensor

Signal Recovery Using Neural Networks for DSP Based Infrared Gas Sensor

This paper mainly focuses on signal recovery using neural networks (NN) for digital signal processor (DSP) based infrared gas sensor. Data processing of the infrared gas sensor is discussed in detail, and then, the methods of solving two problems of the data processing are introduced. Finally, exper...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Fei Zhu, Zize Liang, Tao Yang, Zengguang Hou, Xiuqing Wang
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Data processing
Digital signal processing
Gas detectors
Infrared detectors
Infrared sensors
Neural networks
Sensor arrays
Signal analysis
Signal processing
Signal processing algorithms
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper mainly focuses on signal recovery using neural networks (NN) for digital signal processor (DSP) based infrared gas sensor. Data processing of the infrared gas sensor is discussed in detail, and then, the methods of solving two problems of the data processing are introduced. Finally, experiment results are presented to show the feasibilities and effectiveness of recovering signals using NN. The advantages and challenge of using NN in the infrared gas sensor are also analyzed.
DOI:10.1109/ICNSC.2008.4525417