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Pre-filtering non-stationary signals to improve blind source separation

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2 Author(s)
Barros, A.K. ; Dept. of Inf. Eng., Nagoya Univ., Japan ; Ohnishi, N.

Much work has been carried out concerning blind source separation (BSS) that uses the principle of independent component analysis (ICA), which stands as an elegant, simple and powerful tool to BSS. However, the algorithms previously proposed are still sensitive to nonstationarity, which alters in a bad sense the separation. We propose here a simple pre-processing to the mixed signals based on low-pass filtering that ensures a much better performance for the ICA algorithms

Published in:

Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on  (Volume:2 )

Date of Conference:

2-4 Jul 1997