Independent component analysis by transforming a scatter diagram of mixtures of signals
A novel algorithm is proposed for the independent component analysis (ICA). In the algorithm, ICA is accomplished by geometrical transformation of a scatter diagram. We evaluate the performance of the algorithm by separating original independent images from some mixed images. Our algorithm fulfills...
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| Veröffentlicht in: | Optics communications 2000, Vol.173 (1), p.107-114 |
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| container_end_page | 114 |
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| container_start_page | 107 |
| container_title | Optics communications |
| container_volume | 173 |
| creator | Yamaguchi, Taro Hirokawa, Katsuhisa Itoh, Kazuyoshi |
| description | A novel algorithm is proposed for the independent component analysis (ICA). In the algorithm, ICA is accomplished by geometrical transformation of a scatter diagram. We evaluate the performance of the algorithm by separating original independent images from some mixed images. Our algorithm fulfills considerable reduction of processing time while maintaining the same level of accuracy as conventional algorithms. |
| doi_str_mv | 10.1016/S0030-4018(99)00588-X |
| format | Article |
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| ispartof | Optics communications, 2000, Vol.173 (1), p.107-114 |
| issn | 0030-4018 1873-0310 |
| language | eng |
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| source | Elsevier ScienceDirect Journals Complete |
| subjects | Apex Blind separation Computers in experimental physics Exact sciences and technology Image processing Independent component analysis Instruments, apparatus, components and techniques common to several branches of physics and astronomy Physics Scatter diagram Signal processing |
| title | Independent component analysis by transforming a scatter diagram of mixtures of signals |
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