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- W2020763753 abstract "We propose a new algorithm for blind source separation (BSS) approach that combines independent component analysis (ICA) and frequency subband beamforming interpolation. The slow convergence of the optimization of the separation filters is a problem in ICA. Our approach to resolve this problem is based on the relationship between ICA and null beamforming (NBF). The proposed method consists of the following three parts: (I) a frequency subband selector part for learning ICA, (II) a frequency domain ICA part with direction-of-arrivals (DOA) estimation of sound sources, and (III) an interpolation part using null beamforming constructed with the estimated DOA. In the results of the signal separation experiments under a reverberant condition reveal that the convergence speed is superior to that of the conventional ICA based BSS methods." @default.
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- W2020763753 date "2007-10-01" @default.
- W2020763753 modified "2023-10-14" @default.
- W2020763753 title "Fast Convergence Blind Source Separation Based on Frequency Subband Interpolation by Null Beamforming" @default.
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- W2020763753 doi "https://doi.org/10.1109/aspaa.2007.4392999" @default.
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