| Paper: | MLSP-P5.4 | ||
| Session: | Blind Source Separation III | ||
| Time: | Friday, May 19, 14:00 - 16:00 | ||
| Presentation: | Poster | ||
| Topic: | Machine Learning for Signal Processing: Blind Signal Separation and Independent Component Analysis | ||
| Title: | Eigenvector Algorithms Using Reference Signals | ||
| Authors: | Mitsuru Kawamoto, AIST, Japan; Kiyotaka Kohno, Yujiro Inouye, Shimane University, Japan | ||
| Abstract: | This paper presents an eigenvector algorithm (EVA) derived from a criterion using reference signals, in which the EVA is applied to the blind source separation (BSS) of instantaneous mixtures. The proposed EVA works such that source signals are simultaneously separated from their mixtures. This is a new result, which has not been clarified by the conventional researches. Simulation results show the validity of the proposed EVA. | ||
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