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.

UR - http://www.scopus.com/inward/record.url?scp=0036295861&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0036295861&partnerID=8YFLogxK

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 -