Michael B. Wakin
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Curriculum Vitae (pdf)

Ph.D. thesis

M. B. Wakin, The Geometry of Low-dimensional Signal Models, Ph.D. thesis, Rice University, August 2006.

Journal papers

M. A. Davenport and M. B. Wakin, Analysis of Orthogonal Matching Pursuit using the Restricted Isometry Property, Preprint, 2009.
M. B. Wakin, Manifold-Based Signal Recovery and Parameter Estimation from Compressive Measurements, Preprint, 2008.
M. A. Davenport, P. T. Boufounos, M. B. Wakin, and R. G. Baraniuk, Signal processing with compressive measurements, to appear in IEEE Journal of Selected Topics in Signal Processing, 2009.
R. A. Frazin, M. Jacob, W. B. Manchester, H. Morgan, and M. B. Wakin, Toward Reconstruction of Coronal Mass Ejection Density from Only Three Points of View, Astrophysical Journal, vol. 695, no. 1, pp. 636-641, April 2009.
R. G. Baraniuk and M. B. Wakin, Random Projections of Smooth Manifolds, Foundations of Computational Mathematics, vol. 9, no. 1, pp. 51-77, February 2009.
V. Chandrasekaran, M. B. Wakin, D. Baron, and R. G. Baraniuk, Representation and Compression of Multi-Dimensional Piecewise Functions Using Surflets, IEEE Transactions on Information Theory, vol. 55, no. 1, pp. 374-400, January 2009.
E. J. Candès, M. B. Wakin, and S. P. Boyd, Enhancing Sparsity by Reweighted L1 Minimization, Journal of Fourier Analysis and Applications, vol. 14, no. 5, pp. 877--905, December 2008.
R. Baraniuk, M. Davenport, R. DeVore, and M. Wakin, A Simple Proof of the Restricted Isometry Property for Random Matrices (aka "The Johnson-Lindenstrauss Lemma Meets Compressed Sensing"), Constructive Approximation, vol. 28, no. 3, pp. 253--263, December 2008.
E. J. Candès and M. B. Wakin, An introduction to compressive sampling, in IEEE Signal Processing Magazine, vol. 25, no. 2, pp. 21--30, March 2008.
M. B. Wakin, J. K. Romberg, H. Choi, and R. G. Baraniuk, Wavelet-domain Approximation and Compression of Piecewise Smooth Images, in IEEE Transactions on Image Processing, Vol. 15, No. 5, May 2006.
D. Baron, M. F. Duarte, M. B. Wakin, S. Sarvotham, and R. G. Baraniuk, Distributed Compressive Sensing, Preprint, 2009. [Revised from an earlier 2005 submission.]

Conference papers

M.B. Wakin, A Manifold Lifting Algorithm for Multi-View Compressive Imaging, in Picture Coding Symposium (PCS 2009), Chicago, Illinois, May 2009.
J.Y. Park and M.B. Wakin, A Multiscale Framework for Compressive Sensing of Video, in Picture Coding Symposium (PCS 2009), Chicago, Illinois, May 2009.
M.F. Duarte, S. Sarvotham, D. Baron, M.B. Wakin, and R.G. Baraniuk, Performace Limits for Jointly Sparse Signals via Graphical Models, in Sensor, Signal and Information Processing Workshop -- SenSIP, Sedona, AZ, May 2008.
M.F. Duarte, M.B. Wakin, and R.G. Baraniuk, Wavelet-domain Compressive Signal reconstruction using a Hidden Markov Tree Model, in IEEE 2008 International Conference on Acoustics, Speech, and Signal Processing -- ICASSP 2008, Las Vegas, Nevada, March 2008.
C. Hegde, M. Wakin, and R. Baraniuk, Random Projections for Manifold Learning, in Neural Information Processing Systems -- NIPS, Vancouver, Canada, December 2007. See also: supplemental tech report.
M. Duarte, M. Davenport, M. Wakin, J. Laska, D. Takhar, K. Kelly, and R. Baraniuk, Multiscale random projections for compressive classification, in IEEE Int. Conf. on Image Processing (ICIP), San Antonio, Texas, September 2007.
E. Candès, N. Braun, and M. Wakin, "Sparse Signal and Image Recovery from Compressive Samples," in IEEE 2007 International Symposium on Biomedical Imaging, Washington, D.C., April 2007.
M. Davenport, M. Duarte, M. Wakin, J. Laska, D. Takhar, K. Kelly, and R. Baraniuk, The Smashed Filter for Compressive Classification and Target Recognition, in Computational Imaging V at IS&T/SPIE Electronic Imaging, San Jose, California, January 2007.
S. Kirolos, J. Laska, M. Wakin, M. Duarte, D. Baron, T. Ragheb, Y. Massoud, and R. Baraniuk, Analog-to-Information Conversion via Random Demodulation, in IEEE Dallas Circuits and Systems Workshop (DCAS), Dallas, TX, 2006.
M. B. Wakin, J. N. Laska, M. F. Duarte, D. Baron, S. Sarvotham, D. Takhar, K. F. Kelly, and R. G. Baraniuk, An Architecture for Compressive Imaging, in IEEE 2006 International Conference on Image Processing -- ICIP 2006, Atlanta, GA, Oct. 2006.
M. B. Wakin and R. G. Baraniuk, Random Projections of Signal Manifolds, in IEEE 2006 International Conference on Acoustics, Speech, and Signal Processing -- ICASSP 2006, Toulouse, France, May 2006.
J. A. Tropp, M. B. Wakin, M. F. Duarte, D. Baron, and R. G. Baraniuk, Random Filters for Compressive Sampling and Reconstruction, in IEEE 2006 International Conference on Acoustics, Speech, and Signal Processing -- ICASSP 2006, Toulouse, France, May 2006.
M. F. Duarte, M. A. Davenport, M. B. Wakin, and R. G. Baraniuk, Sparse Signal Detection from Incoherent Projections, in IEEE 2006 International Conference on Acoustics, Speech, and Signal Processing -- ICASSP 2006, Toulouse, France, May 2006.
M. F. Duarte, M. B. Wakin, D. Baron, and R. G. Baraniuk, Universal Distributed Sensing via Random Projections, in International Conference on Information Processing in Sensor Networks -- IPSN 2006, Nashville, TN, April, 2006.
M. B. Wakin, J. N. Laska, M. F. Duarte, D. Baron, S. Sarvotham, D. Takhar, K. F. Kelly, and R. G. Baraniuk, Compressive Imaging for Video Representation and Coding in Picture Coding Symposium -- PCS 2006, Beijing, China, April 2006.
D. Takhar, J. N. Laska, M. B. Wakin, M. F. Duarte, D. Baron, S. Sarvotham, K. F. Kelly, and R. G. Baraniuk, A New Compressive Imaging Camera Architecture using Optical-Domain Compression, in Computational Imaging IV at IS&T/SPIE Electronic Imaging, San Jose, California, January 2006.
M. B. Wakin, M. F. Duarte, S. Sarvhotam, D. Baron, and R. G. Baraniuk, Recovery of Jointly Sparse Signals from Few Random Projections, in Neural Information Processing Systems -- NIPS, Vancouver, Canada, December 2005.
M. F. Duarte, S. Sarvotham, D. Baron, M. B. Wakin, and R. G. Baraniuk, Distributed Compressed Sensing of Jointly Sparse Signals, in Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, November 2005.
D. Baron, M. F. Duarte, S. Sarvotham, M. B. Wakin, and R. G. Baraniuk, An Information-Theoretic Approach to Distributed Compressed Sensing, in 43rd Allerton Conference on Communication, Control, and Computing, September 2005.
M. B. Wakin, D. L. Donoho, H. Choi, and R. G. Baraniuk, The Multiscale Structure of Non-Differentiable Image Manifolds, in SPIE Wavelets XI, San Diego, California, July 2005.
M. B. Wakin, D. L. Donoho, H. Choi, and R. G. Baraniuk, High-Resolution Navigation on Non-Differentiable Image Manifolds, in IEEE 2005 International Conference on Acoustics, Speech, and Signal Processing -- ICASSP 2005, Philadelphia, Pennsylvania, March 2005.
V. Chandrasekaran, M. B. Wakin, D. Baron, and R. G. Baraniuk, Surflets: A Sparse Representation for Multidimensional Functions Containing Smooth Discontinuities, in IEEE 2004 International Symposium on Information Theory -- ISIT 2004, Chicago, Illinois, June 2004.
F. C. A. Fernandes, M. B. Wakin, and R. G. Baraniuk, Non-Redundant, Linear-Phase, Semi-Orthogonal, Directional Complex Wavelets, in IEEE 2004 International Conference on Acoustics, Speech, and Signal Processing -- ICASSP 2004, Montreal, Quebec, Canada, May 2004.
V. Chandrasekaran, M. B. Wakin, D. Baron, and R. G. Baraniuk, Compression of Higher Dimensional Functions Containing Smooth Discontinuities, in 38th Annual Conference on Information Sciences and Systems -- CISS 2004, Princeton, New Jersey, March 2004. See also: supplemental tech report.
M. B. Wakin, M. T. Orchard, R. G. Baraniuk, and V. Chandrasekaran, Phase and Magnitude Perceptual Sensitivities in Nonredundant Complex Wavelet Representations, in Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, November 2003.
J.K. Romberg, M.B. Wakin, and R.G. Baraniuk, Approximation and Compression of Piecewise Smooth Images Using a Wavelet/Wedgelet Geometric Model, in IEEE 2003 International Conference on Image Processing -- ICIP-2003, Barcelona, Spain, September 2003.
M. B. Wakin, J. K. Romberg, H. Choi, and R. G. Baraniuk, Geometric Methods for Wavelet-Based Image Compression, in SPIE Wavelets X, San Diego, California, August 2003.
J. K. Romberg, M. B. Wakin, H. Choi, and R. G. Baraniuk, A Geometric Hidden Markov Tree Wavelet Model, in SPIE Wavelets X, San Diego, California, August 2003.
J.K. Romberg, M.B. Wakin, and R.G. Baraniuk, Multiscale Geometric Image Processing, in SPIE Visual Communications and Image Processing, Lugano, Switzerland, July 2003.
M.B. Wakin, J.K. Romberg, H. Choi, and R.G. Baraniuk, Geometric Tools for Image Compression, in Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, November 2002.
R.M. Castro, M.B. Wakin, and M.T. Orchard, On the Problem of Simultaneous Encoding of Magnitude and Location Information, in Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, November 2002.
M.B. Wakin, J.K. Romberg, H. Choi, and R.G. Baraniuk, Rate-Distortion Optimized Image Compression Using Wedgelets, in IEEE 2002 International Conference on Image Processing -- ICIP-2002, Rochester, New York, September 2002.
J.K. Romberg, M.B. Wakin, and R.G. Baraniuk, Multiscale Wedgelet Image Analysis: Fast Decompositions and Modeling, in IEEE 2002 International Conference on Image Processing -- ICIP-2002, Rochester, New York, September 2002.
M.B. Wakin, J.K. Romberg, H. Choi, and R.G. Baraniuk, Image Compression Using an Efficient Edge Cartoon + Texture Model, in IEEE Data Compression Conference, DCC, Snowbird, Utah, April 2002.

Presentations

J.K. Romberg and M.B. Wakin, Compressed Sensing: A Tutorial, IEEE Statistical Signal Processing Workshop, August 2007.

Technical reports

C. Hegde, M. Wakin, and R. Baraniuk, Random Projections for Manifold Learning: Proofs and Analysis, Rice University ECE Technical Report TREE0710, October 2007. (supplement to NIPS 2007 paper)
M.A. Davenport, M.B. Wakin, and R.G. Baraniuk, Detection and Estimation with Compressive Measurements, Rice University ECE Technical Report TR-0610, Houston, TX, November 2006.
S. Sarvotham, M. B. Wakin, D. Baron, M. F. Duarte, and R. G. Baraniuk, Analysis of the DCS one-stage Greedy Algorothm for Common Sparse Supports, Rice University ECE Technical Report TR-0503, Houston, TX, November 2005. (supplement to submitted DCS journal paper)
V. Chandrasekaran, M. Wakin, D. Baron, and R. Baraniuk, Compressing Piecewise Smooth Multidimensional Functions Using Surflets: Rate-Distortion Analysis, Rice University ECE Technical Report, Houston, TX, March 2004. (supplement to CISS 2004 paper)
M. B. Wakin and C. J. Rozell, A Markov Chain Analysis of Blackjack Strategy, 2004.

Software

C. J. Rozell and M. B. Wakin, Blackjack Markov Chain Toolbox, v1.0. This Matlab package computes the player advantage in blackjack using two strategies: (1) basic strategy and (2) Thorp's complete point count system for card counting. The analysis uses Markov chains, as described in the manuscript: M. B. Wakin and C. J. Rozell, A Markov Chain Analysis of Blackjack Strategy, 2004. Installation: Download and unzip code, then see the main Matlab script BJMCmainScript.m. This software is released under a Creative Commons license (Attribution 3.0 Unported).

Course projects

A Markov Chain Analysis of Blackjack Strategy, MATH 502 (Intro. to Markov Chains), Spring 2003
Speech recognition and synthesis, ELEC 532 (Spectral Analysis), Spring 2000
4-bit JAWs CPU, ELEC 422/423 (VLSI), Fall 1998 - Spring 1999
Fully Robotic Execution Device (FRED), ELEC 201 (Lego Lab), Fall 1997

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Email: mwakin (at) mines (dot) e d u

Michael B. Wakin Publications