Application of Ica in blind source separation
The fundamental area in this project is Application of Independent Component Analysis (ICA) in Blind Source Separation. ICA is a tool for discovering structure and patterns in data by factoring a multidimensional data distribution into a product of onedimensional, statistically independent component...
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Format: | Thesis |
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2008
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Online Access: | http://hdl.handle.net/10356/3575 |