A fairly complete list of publications is available here.

• R. G. Baraniuk, V. Cevher, M. Duarte, and C. Hegde, "Model-based Compressive Sensing," submitted to IEEE Transactions on Information Theory, 2008.

• V. Cevher, M. Duarte, C. Hegde, "Sparse Signal Recovery Using Markov Random Fields," Proceedings of the Neural Information Processing Systems Conference (NIPS), Vancouver, Canada, 2008.

• M. Davenport, R. G. Baraniuk, and C. Scott, "Tuning Support Vector Machines for Minimax and Neyman-Pearson Classification," submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008.

• D. Baron, M. Wakin, M. Duarte, S. Sarvotham, and R. G. Baraniuk, "Distributed Compressed Sensing," submitted to IEEE Transactions on Information Theory, 2005.

• V. Chandrasekaran, M. B.Wakin, D. Baron, and R. G. Baraniuk, "Representation and Compression of Multi-Dimensional Piecewise Functions Using Surflets," to appear in IEEE Transactions on Information Theory, 2008.

• C. J. Rozell, D. H. Johnson, R. G. Baraniuk, B. A. Olshausen, "Neurally Plausible Sparse Coding via Thresholding and Local Competition," Neural Computation, Vol. 20, pp. 2526-2563, October 2008.

• R.Wagner, A. Cohen, and R. G. Baraniuk, "Approximation and Compression of Scattered Data by Meshless Multiscale Decomposition," Applied and Computational Harmonic Analysis, Vol. 25, Issue 2, pp. 133-147, September 2008.

• M. Duarte, M. Davenport, D. Takhar, J. Laska, T. Sun, K. Kelly, and R. G. Baraniuk, "Single-Pixel Imaging via Compressive Sampling," IEEE Signal Processing Magazine, Vol. 25, No. 2, pp. 83-91, March 2008.

• R. G. Baraniuk, M. Davenport, R. A. DeVore, and M. B. Wakin, "A Simple Proof of the Restricted Isometry Property for Random Matrices (aka "The Johnson-Lindenstrauss Lemma Meets Compressed Sensing,"), Constructive Approximation, January 2008.

• R. G. Baraniuk and M. B. Wakin, "Random Projections of Smooth Manifolds," Foundations of Computational Mathematics, December 2007.

• C. Hegde, M. Wakin, and R. G. Baraniuk, "Random Projections for Manifold Learning," Neural Information Processing Systems (NIPS), Vancouver, December 2007.

• R. G. Baraniuk, "Compressive Sensing," Lecture Notes in IEEE Signal Processing Magazine, Vol. 24, No. 4, pp. 118-120, July 2007.

• M. A. Davenport, M. F. Duarte, M. B. Wakin, J. A. Laska, D. Takhar, K. F. Kelly, and R. G. Baraniuk, "The Smashed Filter for Compressive Classification and Target Recognition," IS&T/SPIE Computational Imaging IV, San Jose, January 2007.

• I. Selesnick, N. G. Kingsbury, and R. G. Baraniuk, "The Dual-Tree Complex Wavelet Transform - A Coherent Framework for Multiscale Signal and Image Processing," IEEE Signal Processing Magazine, November 2005.