Redundant Data Elimination in Independent Component Analysis
Independent component analysis involves a lot of data in statistical calculations. This paper studies the model by examining which part of the data is essential and which part is redundant for defining the mixing system and proposes an idea called redundant data elimination. Statistical properties c...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
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Institute of Electrical and Electronics Engineers, Inc.
2005
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/26761 |
| _version_ | 1848752078220951552 |
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| author | Liu, Xianhua Randall, R. |
| author2 | A. Bouzerdoum |
| author_facet | A. Bouzerdoum Liu, Xianhua Randall, R. |
| author_sort | Liu, Xianhua |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Independent component analysis involves a lot of data in statistical calculations. This paper studies the model by examining which part of the data is essential and which part is redundant for defining the mixing system and proposes an idea called redundant data elimination. Statistical properties change in the direction of uniform distribution as redundant data are eliminated, yet the model still holds and the solution still exists. A theoretical explanation is given of the geometrical transformation of independent sources. The above reasoning is verified by separation experiment. It is shown that this idea can also improve model match for unsymmetrical sources. |
| first_indexed | 2025-11-14T08:02:54Z |
| format | Conference Paper |
| id | curtin-20.500.11937-26761 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:02:54Z |
| publishDate | 2005 |
| publisher | Institute of Electrical and Electronics Engineers, Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-267612022-10-20T05:57:22Z Redundant Data Elimination in Independent Component Analysis Liu, Xianhua Randall, R. A. Bouzerdoum A. Beghdadi Independent component analysis redundant data Independent component analysis involves a lot of data in statistical calculations. This paper studies the model by examining which part of the data is essential and which part is redundant for defining the mixing system and proposes an idea called redundant data elimination. Statistical properties change in the direction of uniform distribution as redundant data are eliminated, yet the model still holds and the solution still exists. A theoretical explanation is given of the geometrical transformation of independent sources. The above reasoning is verified by separation experiment. It is shown that this idea can also improve model match for unsymmetrical sources. 2005 Conference Paper http://hdl.handle.net/20.500.11937/26761 10.1109/ISSPA.2005.1580188 Institute of Electrical and Electronics Engineers, Inc. restricted |
| spellingShingle | Independent component analysis redundant data Liu, Xianhua Randall, R. Redundant Data Elimination in Independent Component Analysis |
| title | Redundant Data Elimination in Independent Component Analysis |
| title_full | Redundant Data Elimination in Independent Component Analysis |
| title_fullStr | Redundant Data Elimination in Independent Component Analysis |
| title_full_unstemmed | Redundant Data Elimination in Independent Component Analysis |
| title_short | Redundant Data Elimination in Independent Component Analysis |
| title_sort | redundant data elimination in independent component analysis |
| topic | Independent component analysis redundant data |
| url | http://hdl.handle.net/20.500.11937/26761 |