Jarvis Haupt

Associate Professor

Research Area: Biomedical and Biological Computational Methods, Devices, and System; Communications, Signal Processing, and Networking

6-183 Keller Hall

Area of Expertise:

Statistical signal processing, applications in analog & digital communications networks, remote sensing, conventional and medical imaging


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


Russell J. Penrose Teaching Award

Young Faculty Award (DARPA)

Gerald Holdridge Teaching Award – Honorable Mention, University of Wisconsin-Madison, 2004

Claude and Dora Richardson Distinguished Fellowship, University of Wisconsin-Madison, 2002


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 MagazineSpecial Issue on Compressive Sens-
, 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.