2002 - IEEE Fellow For contributions to the development of subspace signal processing algorithms
B.D. Van Veen spends much of his time researching Microwave imaging, Optics, Beamforming, Microwave and Backscatter. The concepts of his Microwave imaging study are interwoven with issues in Imaging phantom, Dielectric and Artificial intelligence. His study in Optics is interdisciplinary in nature, drawing from both Algorithm and Inverse problem.
His work carried out in the field of Algorithm brings together such families of science as Function, Spatial filter and Lasso. His studies deal with areas such as Antenna array, Control theory, Finite-difference time-domain method, Signal and Adaptive control as well as Beamforming. His research integrates issues of Acoustics and Breast cancer in his study of Microwave.
His main research concerns Algorithm, Control theory, Beamforming, Covariance matrix and Artificial intelligence. As a member of one scientific family, B.D. Van Veen mostly works in the field of Algorithm, focusing on Mathematical optimization and, on occasion, Basis function and Applied mathematics. His Control theory study combines topics from a wide range of disciplines, such as Single antenna interference cancellation, Interference, Signal processing, Adaptive beamformer and Minimum-variance unbiased estimator.
He interconnects Antenna array, Antenna, Microwave imaging, Microwave and Breast cancer in the investigation of issues within Beamforming. His primary area of study in Covariance matrix is in the field of Covariance function. His Artificial intelligence study integrates concerns from other disciplines, such as Noise, Computer vision and Pattern recognition.
Microwave imaging, Dielectric, Inverse problem, Optics and Algorithm are his primary areas of study. The study incorporates disciplines such as Acoustics, Imaging phantom, Scattering and Medical imaging in addition to Microwave imaging. B.D. Van Veen works mostly in the field of Dielectric, limiting it down to concerns involving Microwave and, occasionally, Permittivity, Beamforming, Multiplexing and Brain cancer.
His work on Inverse scattering problem as part of general Inverse problem research is frequently linked to Magnetoencephalography, thereby connecting diverse disciplines of science. He is interested in Covariance matrix, which is a branch of Algorithm. His work focuses on many connections between Covariance matrix and other disciplines, such as Linear model, that overlap with his field of interest in Pattern recognition and Artificial intelligence.
B.D. Van Veen mostly deals with Microwave imaging, Optics, Dielectric, Inverse problem and Inverse scattering problem. The Microwave imaging study combines topics in areas such as Imaging phantom and Biomedical engineering. The various areas that he examines in his Optics study include Microwave and Medical imaging.
His Dielectric research integrates issues from Voxel and Human breast. While the research belongs to areas of Breast imaging, B.D. Van Veen spends his time largely on the problem of Iterative reconstruction, intersecting his research to questions surrounding Algorithm. His work in Backscatter tackles topics such as Pattern recognition which are related to areas like Artificial intelligence.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Localization of brain electrical activity via linearly constrained minimum variance spatial filtering
B.D. Van Veen;W. Van Drongelen;M. Yuchtman;A. Suzuki.
IEEE Transactions on Biomedical Engineering (1997)
Localization of brain electrical activity via linearly constrained minimum variance spatial filtering
B.D. Van Veen;W. Van Drongelen;M. Yuchtman;A. Suzuki.
IEEE Transactions on Biomedical Engineering (1997)
Microwave imaging via space-time beamforming for early detection of breast cancer
E.J. Bond;Xu Li;S.C. Hagness;B.D. Van Veen.
IEEE Transactions on Antennas and Propagation (2003)
Microwave imaging via space-time beamforming for early detection of breast cancer
E.J. Bond;Xu Li;S.C. Hagness;B.D. Van Veen.
IEEE Transactions on Antennas and Propagation (2003)
An overview of ultra-wideband microwave imaging via space-time beamforming for early-stage breast-cancer detection
Xu Li;E.J. Bond;B.D. Van Veen;S.C. Hagness.
IEEE Antennas and Propagation Magazine (2005)
An overview of ultra-wideband microwave imaging via space-time beamforming for early-stage breast-cancer detection
Xu Li;E.J. Bond;B.D. Van Veen;S.C. Hagness.
IEEE Antennas and Propagation Magazine (2005)
Microwave imaging via space-time beamforming: experimental investigation of tumor detection in multilayer breast phantoms
Xu Li;S.K. Davis;S.C. Hagness;D.W. van der Weide.
IEEE Transactions on Microwave Theory and Techniques (2004)
Microwave imaging via space-time beamforming: experimental investigation of tumor detection in multilayer breast phantoms
Xu Li;S.K. Davis;S.C. Hagness;D.W. van der Weide.
IEEE Transactions on Microwave Theory and Techniques (2004)
Development of Anatomically Realistic Numerical Breast Phantoms With Accurate Dielectric Properties for Modeling Microwave Interactions With the Human Breast
E. Zastrow;S.K. Davis;M. Lazebnik;F. Kelcz.
IEEE Transactions on Biomedical Engineering (2008)
Development of Anatomically Realistic Numerical Breast Phantoms With Accurate Dielectric Properties for Modeling Microwave Interactions With the Human Breast
E. Zastrow;S.K. Davis;M. Lazebnik;F. Kelcz.
IEEE Transactions on Biomedical Engineering (2008)
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