Van Veen, Barry D.

statistical signal processing algorithm development and analysis
signal processing for sensor arrays
biomedical applications of signal processing
signal processing for study of brain electrical activity from scalp measurements of electric and magnetic fields
signal processing for microwave breast cancer detection, monitoring, and treatment

Selected Awards, Honors and Societies

IEEE Fellow, 2002, for "contributions to the development of subspace signal processing algorithms."
Holdridge Teaching Excellence Award, Electrical and Computer Engineering Department, University of Wisconsin, 1997.
IEEE Signal Processing Society Paper Award, 1990 for "Partially Adaptive Beamformer Design via Output Power Minimization," IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. ASSP-35, pp. 1524-1532, November 1987.
National Science Foundation Presidential Young Investigator Award, 1989.

Selected Publications

S. Haykin and B.D. Van Veen, Signals and Systems, 2nd Ed. John Wiley and Sons: New York, 2003.
A. Bolstad, B. Van Veen and R. Nowak, "Space-time sparse reconstruction for magneto-electroencephalography," in review View PDF.
B. Cheung and B. Van Veen, "Estimation of cortical multivariate autoregressive models for EEG/MEG using an expectation-maximization algorithm," in review View PDF.
T. Limpiti, B. Van Veen, H. Attias and S. Nagarajan, "A spatio-temporal framework for trial to trial variability in event-related MEG/EEG: Estimating amplitude variation," in review View PDF.
D. Winters, J. Shea, E. Madsen, G. Frank, B. Van Veen and S. Hagness, "Estimating the Breast Surface Using UWB Microwave Monostatic Backscatter Measurements,"IEEE Trans. Biomedical Engineering, pp. 247-256, Jan. 2008 View PDF.
S.K. Davis, B.D. Van Veen, S.C. Hagness, and F. Kelcz, "Breast Tumor Characterization Based on Ultrawideband Microwave Backscatter," IEEE Trans. Biomedical Engineering, pp. 237-246 , Jan. 2008 View PDF.
J. Mundarath, P. Ramanathan and B. Van Veen, "A cross layer scheme for adaptive antenna array based wireless ad hoc networks in multipath environments," Wireless Networks, pp. 597-615, Oct. 2007 View PDF.
H. Zhao, M. Chen, B.D. Van Veen, J.F. Strasburger, and R.T. Wakai, "Simultaneous Fetal Magnetocardiography and Ultrasound/Doppler Imaging," IEEE Trans. Biomedical Engineering, pp. 1167-1171, June 2007. View PDF.
A. Choffrut, B.D. Van Veen, and J.H. Booske, "Minimizing Spectral Leakage of Non-Ideal LINC Transmitters by Analysis of Component Impairments," IEEE Trans. Vehicular Technology , pp. 445-458, March 2007. View PDF.
A. Pezeshki, L.L. Scharf, J.K. Thomas, and B.D. Van Veen, "Canonical Coordinates are the Right Coordinates for Low-Rank Gauss-Gauss Detection and Estimation," IEEE Trans. Signal Processing, pp. 4817-4820, Dec. 2006. View PDF.
D.W. Winters, E.J. Bond, B.D. Van Veen, and S.C. Hagness, "Estimation of the Frequency-Dependent Average Dielectric Properties of Breast Tissue Using a Time-Domain Inverse Scattering Technique," IEEE Trans. Antennas and Propagation, pp. 3517-3528, Nov. 2006. View PDF.
T. Limpiti, B.D. Van Veen, and R.T. Wakai, "Cortical Patch Basis Model for Spatially Extended Neural Activity," IEEE Trans. Biomedical Engineering, pp. 1740-1754, Sept. 2006. View PDF.
M.Converse, E.J. Bond, B.D. Van Veen, and S.C. Hagness, "A Computational Study of Ultra-Wideband Versus Narrowband Microwave Hyperthermia for Breast Cancer Treatment," IEEE Trans. Microwave Theory and Techniques, pp. 2169-2180, May 2006. View PDF.
M.Chen, B.D. Van Veen, and R.T. Wakai, "Linear Minimum Mean-Square Error Filtering for Evoked Responses: Application to Fetal MEG," IEEE Trans. Biomedical Engineering, pp. 959-963, May 2006. View PDF.
A. Rodriguez, B.V. Baryshnikov, B.D. Van Veen, and R.T. Wakai, "MEG and EEG Source Localization in Beamspace," IEEE Trans. Biomedical Engineering, pp. 430-441, Feb. 2006. View PDF.
S.K. Davis, S.C. Hagness, and B.D. Van Veen, "Ultrawideband microwave breast cancer detection: A detection-theoretic approach using the generalized likelihood ratio test," IEEE Trans. Biomedical Engineering, vol. 52, pp. 1237-1250, July 2005. View PDF.
X. Li, E.J. Bond, S.K. Hagness, and B.D. Van Veen, "An overview of ultrawideband microwave imaging for breast cancer detection," IEEE Antennas and Propagation Magazine, vol. 47, pp. 19-34, Feb. 2005. View PDF.
B. Baryshnikov, B.D. Van Veen, and R.T. Wakai, "Maximum likelihood estimation of low rank signals for multiepoch MEG/EEG analysis," IEEE Transactions on Biomedical Engineering, vol. 51, pp. 1981-1993, Nov. 2004. View PDF.
E. J. Bond, X. Li, S. C. Hagness, and B. D. Van Veen, "Microwave imaging via space-time beamforming for early detection of breast cancer," IEEE Transactions on Antennas and Propagation, vol. 51, pp.1690-1705, August 2003. View PDF.
A. Rodriguez, B. Van Veen, and R. Wakai, "Statistical Performance Analysis of Signal Variance Based Dipole Models for MEG/EEG Source Localization and Detection," IEEE Transactions on Biomedical Engineering, vol. 50, pp. 137-149, Feb. 2003.View PDF.
E.N. Onggosanusi, A.M. Sayeed, B.D. Van Veen, "Efficient Signaling Schemes for Wideband Space-Time Wireless Channels Using Channel State Information," IEEE Transactions on Vehicular Technology, vol. 52, pp. 1-13, January 2003.View PDF.
E. N. Onggosanusi, A. M. Sayeed, B. D. Van Veen, "Multi-Access Interference Suppression in Canonical Space-Time Coordinates: A Decentralized Approach," IEEE Transactions on Communications, vol. 50, pp. 833-844, May 2002.View PDF.
B.D. Van Veen, W.D. van Drongelen, M. Yuchtman, and A. Suzuki, "Localization of Brain Electrical Activity via Linearly Constrained Minimum Variance Spatial Filtering," IEEE Transactions on Biomedical Engineering, vol. 44, pp.867-880, September 1997.View PDF.
K. Burgess and B. Van Veen, "Subspace Based Adaptive Generalized Likelihood Ratio Detection," IEEE Transactions on Signal Processing, vol. 44, pp. 912-927, April 1996.View PDF.
B. Van Veen and K. Buckley, "Beamforming: A Versatile Approach to Spatial Filtering," IEEE ASSP Magazine, vol. 5, pp. 4-24, April 1988. View PDF.

Summary

My research interests involve statistical signal processing and its applications. This includes problems in adaptive filtering, adaptive beamforming, signal detection, and estimation, equalization, and sensor array signal processing. My current interests lie in the development of algorithms for biomedical signal processing problems.

My group is developing and analyzing algorithms for reconstructing and modeling electrical activity in the brain from surface measurements of the magnetic and/or electric fields. Problems of interest include localizing sources of activity, reducing noise and interference, and evaluation of connectivity and causal relationships within brain networks. We also develop algorithms for study of the fetal heart and brain from measurements of the magnetic field external to the mother's abdomen.

Development of algorithms for microwave-based detection, monitoring, and treatment of breast cancer is another major emphasis area. The physical basis for this work is the contrast in dielectric properties between normal and malignant tissue. In detection and monitoring applications, an antenna array transmits low power microwave signals into the breast and measures the corresponding scattered signals. Our algorithms process the scattered signals to localize strong scatterers, estimate and monitor changes in the dielectric properties of breast tissue, and characterize lesions. In treatment applications, we develop algorithms for focusing high power microwave signals to achieve therapeutic heating.

Files and Links of Interest

CommDSP group page

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Date last modified: 05-Feb-2008
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