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...
Saved in:
主要作者: | |
---|---|
其他作者: | |
格式: | Theses and Dissertations |
出版: |
2008
|
主題: | |
在線閱讀: | http://hdl.handle.net/10356/3575 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |