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The Recognition of Vibration Sensor's Signals Based on ICA
Vibration sensor's signals are collected from wireless perimeter intrusion monitoring device named NETCORE-1000 which is developed by our research group. The computer simulation (respectively using four kinds of typical algorithms) for those signals are experimented after the basic model of ind...
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| creator | Yu Zhu Ruina Wu Aiguo Li Shengping He |
| description | Vibration sensor's signals are collected from wireless perimeter intrusion monitoring device named NETCORE-1000 which is developed by our research group. The computer simulation (respectively using four kinds of typical algorithms) for those signals are experimented after the basic model of independent component analysis, independence criterion and the four kinds of typical algorithms are described in this paper. Experimental results show that independent component analysis method has a very strong ability to Blind Source Separation. Thus a new and effective signal processing tool is provided for the study of recognition of intrusion signals in the field of perimeter security. |
| doi_str_mv | 10.1109/ICMTMA.2010.368 |
| format | conference_proceeding |
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The computer simulation (respectively using four kinds of typical algorithms) for those signals are experimented after the basic model of independent component analysis, independence criterion and the four kinds of typical algorithms are described in this paper. Experimental results show that independent component analysis method has a very strong ability to Blind Source Separation. Thus a new and effective signal processing tool is provided for the study of recognition of intrusion signals in the field of perimeter security.</description><identifier>ISSN: 2157-1473</identifier><identifier>ISBN: 1424450012</identifier><identifier>ISBN: 9781424450015</identifier><identifier>EISBN: 9781424457397</identifier><identifier>EISBN: 1424457394</identifier><identifier>DOI: 10.1109/ICMTMA.2010.368</identifier><identifier>LCCN: 2009943962</identifier><language>eng</language><publisher>IEEE</publisher><subject>Biomedical signal processing ; Blind source separation ; Computerized monitoring ; Independent component analysis ; Perimeter Security ; Security ; Signal processing ; Signal processing algorithms ; Source separation ; Vibration measurement ; Vibration Sensor's Signals ; Wireless sensor networks</subject><ispartof>2010 International Conference on Measuring Technology and Mechatronics Automation, 2010, Vol.3, p.957-961</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5458514$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27899,54527,54892,54904</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5458514$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Yu Zhu</creatorcontrib><creatorcontrib>Ruina Wu</creatorcontrib><creatorcontrib>Aiguo Li</creatorcontrib><creatorcontrib>Shengping He</creatorcontrib><title>The Recognition of Vibration Sensor's Signals Based on ICA</title><title>2010 International Conference on Measuring Technology and Mechatronics Automation</title><addtitle>ICMTMA</addtitle><description>Vibration sensor's signals are collected from wireless perimeter intrusion monitoring device named NETCORE-1000 which is developed by our research group. The computer simulation (respectively using four kinds of typical algorithms) for those signals are experimented after the basic model of independent component analysis, independence criterion and the four kinds of typical algorithms are described in this paper. Experimental results show that independent component analysis method has a very strong ability to Blind Source Separation. Thus a new and effective signal processing tool is provided for the study of recognition of intrusion signals in the field of perimeter security.</description><subject>Biomedical signal processing</subject><subject>Blind source separation</subject><subject>Computerized monitoring</subject><subject>Independent component analysis</subject><subject>Perimeter Security</subject><subject>Security</subject><subject>Signal processing</subject><subject>Signal processing algorithms</subject><subject>Source separation</subject><subject>Vibration measurement</subject><subject>Vibration Sensor's Signals</subject><subject>Wireless sensor networks</subject><issn>2157-1473</issn><isbn>1424450012</isbn><isbn>9781424450015</isbn><isbn>9781424457397</isbn><isbn>1424457394</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotjL1PwzAUxI2gEm3JzMDijSnlPX_Efmwl4qNSKyQasVZJbBcjSFDShf--FmW50_3udIxdIywQge5W5abaLBcCEpCFPWMZGYtKKKWNJHPOZqcAgOKCTQVqk6MycsJmAoBISSrEJcvG8RMAJFpLRkzZffXh-Ztv-30XD7HveB_4e2yG-i9sfTf2w-3It3Hf1V8jf6hH73hqVuXyik1CYj779zmrnh6r8iVfvz6nep1HgkPusADlrEClPZFXoiZThDb4Fhw4ZSUotITBBSyaUFjr0kajTkpgoZFzdnO6jd773c8Qv-vhd6eVthqVPAK5n0nR</recordid><startdate>201003</startdate><enddate>201003</enddate><creator>Yu Zhu</creator><creator>Ruina Wu</creator><creator>Aiguo Li</creator><creator>Shengping He</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201003</creationdate><title>The Recognition of Vibration Sensor's Signals Based on ICA</title><author>Yu Zhu ; Ruina Wu ; Aiguo Li ; Shengping He</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-d1604d82145e99e42a976fcfec0d0d483041891fdf16bf688de42515e429080b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Biomedical signal processing</topic><topic>Blind source separation</topic><topic>Computerized monitoring</topic><topic>Independent component analysis</topic><topic>Perimeter Security</topic><topic>Security</topic><topic>Signal processing</topic><topic>Signal processing algorithms</topic><topic>Source separation</topic><topic>Vibration measurement</topic><topic>Vibration Sensor's Signals</topic><topic>Wireless sensor networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Yu Zhu</creatorcontrib><creatorcontrib>Ruina Wu</creatorcontrib><creatorcontrib>Aiguo Li</creatorcontrib><creatorcontrib>Shengping He</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 Xplore (Online service)</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>Yu Zhu</au><au>Ruina Wu</au><au>Aiguo Li</au><au>Shengping He</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The Recognition of Vibration Sensor's Signals Based on ICA</atitle><btitle>2010 International Conference on Measuring Technology and Mechatronics Automation</btitle><stitle>ICMTMA</stitle><date>2010-03</date><risdate>2010</risdate><volume>3</volume><spage>957</spage><epage>961</epage><pages>957-961</pages><issn>2157-1473</issn><isbn>1424450012</isbn><isbn>9781424450015</isbn><eisbn>9781424457397</eisbn><eisbn>1424457394</eisbn><abstract>Vibration sensor's signals are collected from wireless perimeter intrusion monitoring device named NETCORE-1000 which is developed by our research group. The computer simulation (respectively using four kinds of typical algorithms) for those signals are experimented after the basic model of independent component analysis, independence criterion and the four kinds of typical algorithms are described in this paper. Experimental results show that independent component analysis method has a very strong ability to Blind Source Separation. Thus a new and effective signal processing tool is provided for the study of recognition of intrusion signals in the field of perimeter security.</abstract><pub>IEEE</pub><doi>10.1109/ICMTMA.2010.368</doi><tpages>5</tpages></addata></record> |
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| ispartof | 2010 International Conference on Measuring Technology and Mechatronics Automation, 2010, Vol.3, p.957-961 |
| issn | 2157-1473 |
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| source | IEEE Xplore All Conference Series |
| subjects | Biomedical signal processing Blind source separation Computerized monitoring Independent component analysis Perimeter Security Security Signal processing Signal processing algorithms Source separation Vibration measurement Vibration Sensor's Signals Wireless sensor networks |
| title | The Recognition of Vibration Sensor's Signals Based on ICA |
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