Fixed-point Error Evaluation of Fast ICA and Algebraic ICA Algorithms

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/741

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DC Field	Value	Language
dc.contributor.author	Acharya, D P	-
dc.contributor.author	Panda, G	-
dc.contributor.author	Lakshmi, Y V S	-
dc.date.accessioned	2008-11-13T06:19:21Z	-
dc.date.available	2008-11-13T06:19:21Z	-
dc.date.issued	2006	-
dc.identifier.citation	IEEE International Conference on Industrial Technology, Mumbai	en
dc.identifier.uri	http://hdl.handle.net/2080/741	-
dc.description	Copyright for the paper belongs to IEEE	en
dc.description.abstract	Independent Component Analysis (ICA) technique separates mixed signals blindly without any information of mixing system. The present work evaluates the error performance of fast ICA and algebraic ICA algorithms for their fixed-point implementations. Simulation study is carried on both fixed and floating point ICAs. It is observed that the word length greatly influences the separation performance. Out of the two ICAs studied the algebraic ICA offers superior performance when the same word length is used in both the cases.	en
dc.format.extent	2117147 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	IEEE	en
dc.title	Fixed-point Error Evaluation of Fast ICA and Algebraic ICA Algorithms	en
dc.type	Article	en
Appears in Collections:	Conference Papers

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