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
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;
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
DOI :
10.1109/ICNSC.2008.4525417
