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Signal Recovery Using Neural Networks for DSP Based Infrared Gas Sensor | IEEE Conference Publication | IEEE Xplore

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 ...Show More

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.
Date of Conference: 06-08 April 2008
Date Added to IEEE Xplore: 20 May 2008
ISBN Information:
Conference Location: Sanya, China

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