TY - JOUR
T1 - Equivalence between frequency domain blind source separation and frequency domain adaptive beamforming
AU - Araki, Shoko
AU - Makino, Shoji
AU - Mukai, Ryo
AU - Hinamoto, Yoichi
AU - Nishikawa, Tsuyoki
AU - Saruwatari, Hiroshi
PY - 2002
Y1 - 2002
N2 - Frequency domain Blind Source Separation (BSS) is shown to be equivalent to two sets of frequency domain adaptive microphone arrays, i.e., Adaptive Beamformers (ABFs). The minimization of the off-diagonal components in the BSS update equation can be viewed as the minimization of the mean square error in the ABF. The unmixing matrix of the BSS and the filter coefficients of the ABF converge to the same solution in the mean square error sense if the two source signals are ideally independent. Therefore, the performance of the BSS is limited by that of the ABF. This understanding gives an interpretation of BSS from physical point of view.
AB - Frequency domain Blind Source Separation (BSS) is shown to be equivalent to two sets of frequency domain adaptive microphone arrays, i.e., Adaptive Beamformers (ABFs). The minimization of the off-diagonal components in the BSS update equation can be viewed as the minimization of the mean square error in the ABF. The unmixing matrix of the BSS and the filter coefficients of the ABF converge to the same solution in the mean square error sense if the two source signals are ideally independent. Therefore, the performance of the BSS is limited by that of the ABF. This understanding gives an interpretation of BSS from physical point of view.
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U2 - 10.1109/ICASSP.2002.5744969
DO - 10.1109/ICASSP.2002.5744969
M3 - Article
AN - SCOPUS:0036295861
VL - 2
SP - 1785
EP - 1788
JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
SN - 0736-7791
ER -