DocumentCode
3495731
Title
Signal Recovery Using Neural Networks for DSP Based Infrared Gas Sensor
Author
Zhu, Fei ; Liang, Zize ; Yang, Tao ; Hou, Zengguang ; Wang, Xiuqing
Author_Institution
Chinese Acad. of Sci., Beijing
fYear
2008
fDate
6-8 April 2008
Firstpage
1294
Lastpage
1299
Abstract
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.
Keywords
chemistry computing; gas sensors; infrared detectors; neural nets; signal processing; DSP based infrared gas sensor; digital signal processor; neural network; signal recovery; Data processing; Digital signal processing; Gas detectors; Infrared detectors; Infrared sensors; Neural networks; Sensor arrays; Signal analysis; Signal processing; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-1685-1
Electronic_ISBN
978-1-4244-1686-8
Type
conf
DOI
10.1109/ICNSC.2008.4525417
Filename
4525417
Link To Document