TY - GEN
T1 - Beamformer Design under Time-correlated Interference and Online Implementation
T2 - 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
AU - Kono, Takehiro
AU - Yukawa, Masahiro
AU - Piotrowski, Tomasz
N1 - Funding Information:
∗This work was supported by KAKENHI 18H01446. †The work of the third author was supported by a grant from the Polish National Science Centre (UMO-2016/20/W/NZ4/00354): In search of the sources of brain’s cognitive activity.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - We present a convexly-constrained beamformer design for brain activity reconstruction from non-invasive electroencephalography (EEG) signals. An intrinsic gap between the output variance and the mean squared errors is highlighted that occurs due to the presence of interfering activities correlated with the desired activity. The key idea of the proposed beamformer is reducing this gap without amplifying the noise by imposing a quadratic constraint that bounds the total power of interference leakage together with the distortionless constraint. The proposed beamformer can be implemented efficiently by the multi-domain adaptive filtering algorithm. Numerical examples show the clear advantages of the proposed beamformer over the minimum-variance distortionless response (MVDR) and nulling beamformers.
AB - We present a convexly-constrained beamformer design for brain activity reconstruction from non-invasive electroencephalography (EEG) signals. An intrinsic gap between the output variance and the mean squared errors is highlighted that occurs due to the presence of interfering activities correlated with the desired activity. The key idea of the proposed beamformer is reducing this gap without amplifying the noise by imposing a quadratic constraint that bounds the total power of interference leakage together with the distortionless constraint. The proposed beamformer can be implemented efficiently by the multi-domain adaptive filtering algorithm. Numerical examples show the clear advantages of the proposed beamformer over the minimum-variance distortionless response (MVDR) and nulling beamformers.
KW - Electroencephalography
KW - MVDR beamformer
KW - inverse ploblems
KW - nulling beamformer
KW - relaxed zero forcing
UR - http://www.scopus.com/inward/record.url?scp=85068990502&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85068990502&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2019.8682614
DO - 10.1109/ICASSP.2019.8682614
M3 - Conference contribution
AN - SCOPUS:85068990502
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 1070
EP - 1074
BT - 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 May 2019 through 17 May 2019
ER -