Jarvis Haupt
Assistant Professor

  

Areas of Expertise: High dimensional statistical inference, compressive sampling, adaptive sampling techniques, statistical signal processing and learning theory; applications in analog and digital communications, networks, remote sensing, conventional and medical imaging.

Education
Ph.D. Electrical Engineering (2009) University of Wisconsin-Madison
M.S.   Electrical Engineering (2003) University of Wisconsin-Madison
B.S.   Electrical Engineering (2002) University of Wisconsin-Madison

Honors/Awards
Gerald Holdridge Teaching Award - Honorable Mention, University of Wisconsin-Madison, 2004
Claude and Dora Richardson Distinguished Fellowship, University of Wisconsin-Madison, 2002

Office
6-183 Keller Hall
Phone: 612-625-7322
Fax: 612-625-4583
E-mail: jdhaupt@umn.edu

Selected Publications
J. Haupt, R. Castro, and R. Nowak, "Distilled sensing: Adaptive sampling for sparse detection and estimation," January 2010, submitted.
Preprint:http://www.ece.rice.edu/~jdh6/publications/sub10 ds.pdf

J. Haupt, W.U. Bajwa, G. Raz, and R. Nowak, "Toeplitz compressed sensing matrices with applications to channel sensing," August 2008, to appear in IEEE Transactions
on Information Theory. Preprint:http://www.ece.rice.edu/~jdh6/publications/sub08_toep.pdf

W.U. Bajwa, J. Haupt, A.M. Sayeed, and R. Nowak, "Compressed channel sensing:A new approach to estimating sparse multipath channels," Proceedings of the IEEE,
vol. 98, no. 6, pp. 1058-1076, July 2010.

J. Haupt, W.U. Bajwa, M. Rabbat, and R. Nowak, "Compressed sensing for networked data," IEEE Signal Processing Magazine—Special Issue on Compressive Sens-
ing, vol. 25, no. 2, pp. 92-101, March 2008.

W.U. Bajwa, J. Haupt, A.M. Sayeed, and R. Nowak, "Joint source-channel communication for distributed estimation in sensor networks," IEEE Transactions on Information Theory—Special Issue on Relaying and Cooperation in Communication Networks, vol. 53, no. 10, pp. 3629-3653, October 2007.

J. Haupt and R. Nowak, "Signal reconstruction from noisy random projections," IEEE Transactions on Information Theory, vol. 52, no. 9, pp. 4036-4048, September 2006.