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...
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creator | Fei Zhu Zize Liang Tao Yang Zengguang Hou Xiuqing Wang |
description | 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_str_mv | 10.1109/ICNSC.2008.4525417 |
format | Conference Proceeding |
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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. 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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.</description><subject>Data processing</subject><subject>Digital signal processing</subject><subject>Gas detectors</subject><subject>Infrared detectors</subject><subject>Infrared sensors</subject><subject>Neural networks</subject><subject>Sensor arrays</subject><subject>Signal analysis</subject><subject>Signal processing</subject><subject>Signal processing algorithms</subject><isbn>142441685X</isbn><isbn>9781424416851</isbn><isbn>9781424416868</isbn><isbn>1424416868</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1UN1KwzAYjchAN_sCepMXaM1vk15qdbUwqlgH3o2k-TKqs5VkKnt7C85zc344nIuD0CUlGaWkuK7Lpi0zRojOhGRSUHWCkkJpKpgQNNe5PkXzfyNfZ2g-dVXBc6LkGUpifCMThORS8nNUtf12MDv8DN34DeGA17EftriBrzClDex_xvAesR8Dvmuf8K2J4HA9-GDCJCoTcQtDHMMFmnmzi5AceYHWy_uX8iFdPVZ1ebNKe6rkPuXOulwoAs5arykYCaA6Ti21ROvOdqqjnnBmtXAMGGfOKE4KAtoz7VzOF-jqb7cHgM1n6D9MOGyOR_BfnjhPMw</recordid><startdate>200804</startdate><enddate>200804</enddate><creator>Fei Zhu</creator><creator>Zize Liang</creator><creator>Tao Yang</creator><creator>Zengguang Hou</creator><creator>Xiuqing Wang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200804</creationdate><title>Signal Recovery Using Neural Networks for DSP Based Infrared Gas Sensor</title><author>Fei Zhu ; Zize Liang ; Tao Yang ; Zengguang Hou ; Xiuqing Wang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-3dbd6470edbbf81ea5ee7c31b1b088cbc7c1f032b84d2e232da73090e8f28dd63</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Data processing</topic><topic>Digital signal processing</topic><topic>Gas detectors</topic><topic>Infrared detectors</topic><topic>Infrared sensors</topic><topic>Neural networks</topic><topic>Sensor arrays</topic><topic>Signal analysis</topic><topic>Signal processing</topic><topic>Signal processing algorithms</topic><toplevel>online_resources</toplevel><creatorcontrib>Fei Zhu</creatorcontrib><creatorcontrib>Zize Liang</creatorcontrib><creatorcontrib>Tao Yang</creatorcontrib><creatorcontrib>Zengguang Hou</creatorcontrib><creatorcontrib>Xiuqing Wang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Fei Zhu</au><au>Zize Liang</au><au>Tao Yang</au><au>Zengguang Hou</au><au>Xiuqing Wang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Signal Recovery Using Neural Networks for DSP Based Infrared Gas Sensor</atitle><btitle>2008 IEEE International Conference on Networking, Sensing and Control</btitle><stitle>ICNSC</stitle><date>2008-04</date><risdate>2008</risdate><spage>1294</spage><epage>1299</epage><pages>1294-1299</pages><isbn>142441685X</isbn><isbn>9781424416851</isbn><eisbn>9781424416868</eisbn><eisbn>1424416868</eisbn><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.</abstract><pub>IEEE</pub><doi>10.1109/ICNSC.2008.4525417</doi><tpages>6</tpages></addata></record> |
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subjects | Data processing Digital signal processing Gas detectors Infrared detectors Infrared sensors Neural networks Sensor arrays Signal analysis Signal processing Signal processing algorithms |
title | Signal Recovery Using Neural Networks for DSP Based Infrared Gas Sensor |
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