Van Veen, B. D., Van Drongelen, W., Yuchtman, M. & Suzuki, A. Localization of brain electrical activity via linearly constrained minimum variance spatial filtering.
Motivated by the constrained minimum spanning tree (CST) problem in Hassin and Levin [R.
Van Veen, B. D., van Drongelen, W., Yuchtman, M. & Suzuki, A. Localization of brain electrical activity via linearly constrained minimum variance spatial filtering.
This paper presents reduced-rank linearly constrained minimum variance (LCMV) beamforming algorithms based on joint iterative optimization of filters.
In this paper an inverse QR decomposition based recursive least-squares algorithm for linearly constrained minimum variance filtering is proposed.
We measure headwall retreat associated with glacial landforms and date their host-craters to constrain minimum headwall retreat rates.
The blind Capon multiuser receivers implemented by linearly constrained minimum variance (LCMV) filters are designed to achieve this goal.
In order to design approximation algorithms for MPSM, we also introduce the constrained maximum induced subgraph problem (CMIS) and the constrained minimum induced subgraph (CNIS) problem.
Based on the semi-tensor product of matrices and Floydʼs algorithm, minimum energy, constrained minimum energy and optimal-satisfactory control design for Boolean control network are given respectively.
To overcome the sensor level tACS artifact, the data were projected into source space by means of linearly constrained minimum variance (LCMV) beamforming21, applied to 889 equally-spaced (1.5 cm) points covering the whole brain, resulting in 889 virtual sensors.
