Paper Info
Title
Signal Recovery Using Neural Networks for DSP Based Infrared Gas Sensor
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.
Year
DOI
Venue
2008
10.1109/ICNSC.2008.4525417
ICNSC
Keywords
Field
DocType
neural network,signal recovery,signal processing,chemistry computing,dsp based infrared gas sensor,infrared detectors,gas sensors,neural nets,digital signal processor,signal analysis,digital signal processing,infrared,data processing,neural networks
Signal processing,Digital signal processing,Data processing,Digital signal processor,Computer science,Signal recovery,Electronic engineering,Artificial neural network,Infrared,Signal processing algorithms
Conference
ISSN
ISBN
Citations 
1810-7869
978-1-4244-1686-8
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Fei Zhu100.34
Zi-ze Liang210619.61
Tao Yang3123.93
Zeng-Guang Hou42293167.18
Xiuqing Wang5233.98