SEC09-033 three dimensional least squares estimation scheme
A common method for representing a set of data as a curve is the well known least squares approximation. This method is used to generate equations which represent a variable in terms of coefficients generated by the method and the other known variable. A new method is proposed which uses a similar d...
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description | A common method for representing a set of data as a curve is the well known least squares approximation. This method is used to generate equations which represent a variable in terms of coefficients generated by the method and the other known variable. A new method is proposed which uses a similar derivation to create equations which represent the three dimensional data. This algorithm, the Three Dimensional Least Squares Estimation Method, is then used to predict future coordinate values from past data measurements. |
doi_str_mv | 10.1109/SECON.2009.5174055 |
format | Conference Proceeding |
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This method is used to generate equations which represent a variable in terms of coefficients generated by the method and the other known variable. A new method is proposed which uses a similar derivation to create equations which represent the three dimensional data. 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This method is used to generate equations which represent a variable in terms of coefficients generated by the method and the other known variable. A new method is proposed which uses a similar derivation to create equations which represent the three dimensional data. This algorithm, the Three Dimensional Least Squares Estimation Method, is then used to predict future coordinate values from past data measurements.</description><subject>Cameras</subject><subject>Coordinate measuring machines</subject><subject>Equations</subject><subject>Least squares approximation</subject><subject>Least squares methods</subject><subject>Matrices</subject><subject>Position measurement</subject><issn>1091-0050</issn><issn>1558-058X</issn><isbn>1424439760</isbn><isbn>9781424439768</isbn><isbn>1424439787</isbn><isbn>9781424439782</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkMtKA0EURNtHwDHmB3TTP9DjvdNvXEmIDwhmYRbuQqfnNhmZiTo9Lvz7jBhwVVAHqopi7BqhRAR_-7qYr17KCsCXGq0CrU_YJapKKemts6esQK2dAO3ezv6BgfMRgEcBoGHCCqeEUVLa6oLNcn4H-PUtOF-wu7ECvAAp-bDriXjddLTPzcc-tLylkAeev75DT5lTHpouDCPiOe6ooys2SaHNNDvqlK0fFuv5k1iuHp_n90vReBiE32oHSlmXEikTgjRYo0waI5g6aRejHZ1kQ622LvhUUfTBYAxRm6QwyCm7-YttiGjz2Y8j-p_N8Q95AEZJTW0</recordid><startdate>200903</startdate><enddate>200903</enddate><creator>Wilson, S.S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200903</creationdate><title>SEC09-033 three dimensional least squares estimation scheme</title><author>Wilson, S.S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-9b5804478ffe46aa361d13f51c06df58cc761df7ad4b8a9f2ec9a61cac56f41a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Cameras</topic><topic>Coordinate measuring machines</topic><topic>Equations</topic><topic>Least squares approximation</topic><topic>Least squares methods</topic><topic>Matrices</topic><topic>Position measurement</topic><toplevel>online_resources</toplevel><creatorcontrib>Wilson, S.S.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wilson, S.S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>SEC09-033 three dimensional least squares estimation scheme</atitle><btitle>IEEE Southeastcon 2009</btitle><stitle>SECON</stitle><date>2009-03</date><risdate>2009</risdate><spage>89</spage><epage>92</epage><pages>89-92</pages><issn>1091-0050</issn><eissn>1558-058X</eissn><isbn>1424439760</isbn><isbn>9781424439768</isbn><eisbn>1424439787</eisbn><eisbn>9781424439782</eisbn><abstract>A common method for representing a set of data as a curve is the well known least squares approximation. This method is used to generate equations which represent a variable in terms of coefficients generated by the method and the other known variable. A new method is proposed which uses a similar derivation to create equations which represent the three dimensional data. This algorithm, the Three Dimensional Least Squares Estimation Method, is then used to predict future coordinate values from past data measurements.</abstract><pub>IEEE</pub><doi>10.1109/SECON.2009.5174055</doi><tpages>4</tpages></addata></record> |
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subjects | Cameras Coordinate measuring machines Equations Least squares approximation Least squares methods Matrices Position measurement |
title | SEC09-033 three dimensional least squares estimation scheme |
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