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3-D VLSI Architecture Implementation for Data Fusion Problems

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dc.contributor.author Duong, T. en_US
dc.contributor.author Weldon, D. en_US
dc.contributor.author Thomas, T. en_US
dc.date.accessioned 2004-09-24T16:08:08Z
dc.date.available 2004-09-24T16:08:08Z
dc.date.issued 1999-07-06 en_US
dc.identifier.citation Data Fusion 1999 en_US
dc.identifier.citation Sunnyvale, California, USA en_US
dc.identifier.clearanceno 99-1083 en_US
dc.identifier.uri http://hdl.handle.net/2014/17650
dc.description.abstract This paper gives an overview of hardware implementation techniques employed in solving real-time classification problems using Neural Network, Principle Component Analysis (PCA), and Independent Component Analysis (ICA) techniques. en_US
dc.format.extent 695241 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other 3-D VLSI architecture data fusion neural networks en_US
dc.title 3-D VLSI Architecture Implementation for Data Fusion Problems en_US


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