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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/741
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Full metadata record
| DC Field | Value | Language |
|---|
| contributor.author | Acharya, D P | - |
| contributor.author | Panda, G | - |
| contributor.author | Lakshmi, Y V S | - |
| date.accessioned | 2008-11-13T06:19:21Z | - |
| date.available | 2008-11-13T06:19:21Z | - |
| date.issued | 2006 | - |
| identifier.citation | IEEE International Conference on Industrial Technology, Mumbai | en |
| identifier.uri | http://hdl.handle.net/2080/741 | - |
| description | Copyright for the paper belongs to IEEE | en |
| 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 |
| format.extent | 2117147 bytes | - |
| format.mimetype | application/pdf | - |
| language.iso | en | - |
| publisher | IEEE | en |
| title | Fixed-point Error Evaluation of Fast ICA and Algebraic ICA Algorithms | en |
| type | Article | en |
| Appears in Collections: | Conference Papers
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Files in This Item:
| File |
Description |
Size | Format |
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| dpa-conf-2.pdf | | 2067Kb | Adobe PDF | View/Open |
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