Signal Processing - January 2017 - 65

Ashok Veeraraghavan (vashok@rice.edu) received his
B.S. degree in electrical engineering from the Indian Institute
of Technology, Madras, in 2002 and his M.S. and Ph.D.
degrees from the Department of Electrical and Computer
Engineering, University of Maryland, College Park, in 2004
and 2008, respectively. He is an assistant professor of electrical and computer engineering at Rice University, Houston,
Texas, where he directs the Computational Imaging and
Vision Lab. His research interests are broadly in the areas of
computational imaging, computer vision, and robotics.
Before joining Rice University, he spent three years as a
research scientist at Mitsubishi Electric Research Labs in
Cambridge, Massachusetts. His work has received numerous
awards, including the doctoral dissertation award from the
Department of Electrical and Computer Engineering at the
University of Maryland, the Hershel M. Rich Invention
Award from Rice University, and the Best Poster Runner-Up
Award from the 2014 International Conference on
Computational Photography.
Michael B. Wakin (mwakin@mines.edu) received his
B.S. degree in electrical engineering and his B.A. degree in
mathematics in 2000, his M.S. degree in electrical engineering in 2002, and his Ph.D. degree in electrical engineering
in 2007 from Rice University, Houston, Texas. He is the
Ben L. Fryrear associate professor in the Department of
Electrical Engineering and Computer Science at the
Colorado School of Mines (CSM), Golden. He was a
National Science Foundation (NSF) mathematical sciences
postdoctoral research fellow at the California Institute of
Technology, Pasadena, in 2006-2007 and an assistant professor at the University of Michigan, Ann Arbor, in 2007-
2008. His research interests include sparse, geometric, and
manifold-based models for signal processing and compressive sensing. He has received the NSF CAREER Award, the
Defense Advanced Research Projects Agency Young Faculty
Award, and the CSM Excellence in Research Award for his
research as a junior faculty member.

References

[1] M. Aharon, M. Elad, and A. Bruckstein, "K-SVD: An algorithm for designing
overcomplete dictionaries for sparse representation," IEEE Trans. Signal Process.,
vol. 54, no. 11, pp. 4311-4322, 2006.
[2] M. S. Asif, A. Ayremlou, A. Sankaranarayanan, A. Veeraraghavan, and R.
Baraniuk, "Flatcam: Thin, lensless cameras using coded aperture and computation,"
IEEE Trans. Comput. Imag., to be published. DOI: 10.1109/TCI.2016.2593662
[3] M. S. Asif, L. Hamilton, M. Brummer, and J. Romberg, "Motion-adaptive spatio-temporal regularization for accelerated dynamic MRI," Magn. Reson. Medicine,
vol. 70, no. 3, pp. 800-812, 2013.
[4] R. Baraniuk, S. Foucart, D. Needell, Y. Plan, and M. Wootters, "Exponential
decay of reconstruction error from binary measurements of sparse signals," arXiv
preprint arXiv:1407.8246, 2014.

[9] R. Basri and D. W. Jacobs, "Lambertian reflectance and linear subspaces," IEEE
Trans. Pattern Anal. Mach. Intell., vol. 25, no. 2, pp. 218-233, 2003.
[10] A. Beck and M. Teboulle, "Fast gradient-based algorithms for constrained total
variation image denoising and deblurring problems," IEEE Trans. Image Process.,
vol. 18, no. 11, pp. 2419-2434, 2009.
[11] D. E. Bellasi, L. Bettini, C. Benkeser, T. Burger, Q. Huang, and C. Studer,
"VLSI design of a monolithic compressive-sensing wideband analog-to-information converter," IEEE Trans. Emerg. Sel. Topics Circuits Syst., vol. 3, no. 4, pp.
552-565, 2013.
[12] T. Blumensath and M. E. Davies, "Iterative hard thresholding for compressed
sensing," Appl. Comput. Harmon. Anal., vol. 27, no. 3, pp. 265-274, 2009.
[13] S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein, "Distributed optimization and statistical learning via the alternating direction method of multipliers,"
Found. Trends Mach. Learn., vol. 3, no. 1, pp. 1-122, 2011.
[14] E. Candès and M. Wakin, "An introduction to compressive sampling," IEEE
Signal Process. Mag., vol. 25, no. 2, pp. 21-30, Mar. 2008.
[15] E. J. Candès and D. L. Donoho, "New tight frames of curvelets and optimal
representations of objects with piecewise c2 singularities," Commun. Pure Appl.
Math., vol. 57, no. 2, pp. 219-266, 2004.
[16] E. J. Candès, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact
signal reconstruction from highly incomplete frequency information," IEEE Trans.
Inf. Theory, vol. 52, no. 2, pp. 489-509, Feb. 2006.
[17] V. Cevher, A. C. Sankaranarayanan, M. F. Duarte, D. Reddy, R. G. Baraniuk,
and R. Chellappa, "Compressive sensing for background subtraction," in Proc.
European Conf. Computer Vision, Marseille, France, 2008, pp. 155-168.
[18] A. Chambolle and T. Pock, "A first-order primal-dual algorithm for convex
problems with applications to imaging," J. Mathematical Imaging Vision, vol. 40,
no. 1, pp. 120-145, 2011.
[19] H. Chen, S. Asif, A. C. Sankaranarayanan, and A. Veeraraghavan, "FPA-CS:
Focal plane array-based compressive imaging in short-wave infrared," in Proc.
IEEE Conf. Computer Vision and Pattern Recognition, Boston, MA, 2015,
pp. 2358-2366.
[20] P. L. Combettes and J.-C. Pesquet, "Proximal splitting methods in signal processing," in Fixed-Point Algorithms for Inverse Problems in Science and
Engineering. New York: Springer-Verlag, 2011, pp. 185-212.
[21] W. Dai and O. Milenkovic, "Subspace pursuit for compressive sensing reconstruction," IEEE Trans. Inf. Theory, vol. 55, no. 5, pp. 2230-2249, 2009.
[22] M. Davenport, J. Laska, J. R. Treichler, and R. G. Baraniuk, "The pros and
cons of compressive sensing for wideband signal acquisition: Noise folding versus
dynamic range," IEEE Trans. Signal Process., vol. 60, no. 9, pp. 4628-4642,
2012.
[23] M. A. Davenport, P. T. Boufounos, M. B. Wakin, and R. G. Baraniuk, "Signal
processing with compressive measurements," IEEE J. Sel. Topics Signal Process.,
vol. 4, no. 2, pp. 445-460, 2010.
[24] D. L. Donoho, "Compressed sensing," IEEE Trans. Inf. Theory, vol. 52, no. 4,
pp. 1289-1306, Apr. 2006.
[25] D. L. Donoho, A. Maleki, and A. Montanari, "Message-passing algorithms for
compressed sensing," Proc. Natl. Acad. Sci. U.S.A., vol. 106, no. 45, pp. 18914-
18919, 2009.
[26] D. L. Donoho, Y. Tsaig, I. Drori, and J.-L. Starck, "Sparse solution of underdetermined systems of linear equations by stagewise orthogonal matching pursuit,"
IEEE Trans. Inf. Theory, vol. 58, no. 2, pp. 1094-1121, 2012.
[27] M. F. Duarte, M. A. Davenport, D. Takhar, J. N. Laska, T. Sun, K. F. Kelly,
and R. G. Baraniuk, "Single-pixel imaging via compressive sampling," IEEE Signal
Process. Mag., vol. 25, no. 2, pp. 83-91, Mar. 2008.
[28] J. Eckstein and D. P. Bertsekas, "On the Douglas-Rachford splitting method
and the proximal point algorithm for maximal monotone operators," Mathematical
Programming, vol. 55, nos. 1-3, pp. 293-318, 1992.
[29] E. Esser, X. Zhang, and T. F. Chan, "A general framework for a class of first
order primal-dual algorithms for convex optimization in imaging science," SIAM J.
Imag. Sci., vol. 3, no. 4, pp. 1015-1046, 2010.

[5] R. G. Baraniuk, "Optimal tree approximation with wavelets," Proc. SPIE, vol.
3813, pp. 196-207, 1999.

[30] J. E. Fowler, S. Mun, E. W. Tramel, M. R. Gupta, Y. Chen, T. Wiegand, and H.
Schwarz, "Block-based compressed sensing of images and video," Found. Trends
Signal Processing, vol. 4, no. 4, pp. 297-416, 2010.

[6] R. G. Baraniuk, "Compressive sensing," IEEE Signal Process. Mag., vol. 24,
no. 4, pp. 118-121, 2007.

[31] R. Glowinski and P. Le Tallec, Augmented Lagrangian and Operator-Splitting
Methods in Nonlinear Mechanics. Philadelphia, PA: SIAM, 1989.

[7] R. G. Baraniuk. (2015). Compressive nonsensing, Norbert Weiner Lecture, Univ.
of Maryland. [Online]. Available: http://www.norbertwiener.umd.edu/
FFT/2015/15-TAs/baraniuk.html

[32] T. Goldstein, M. Li, and X. Yuan, "Adaptive primal-dual splitting methods for
statistical learning and image processing," in Advances in Neural Information
Processing Systems 28, C. Cortes, N. Lawrence, D. Lee, M. Sugiyama, R. Garnett,
and R. Garnett, Eds. Red Hook, NY: Curran Associates, Inc., 2015, pp. 2080-2088.

[8] R. G. Baraniuk, M. Davenport, R. DeVore, and M. Wakin. "A simple proof of
the restricted isometry property for random matrices," Constr. Approx., vol. 28, no.
3, pp. 253-263, Dec. 2008.

[33] T. Goldstein, B. O'Donoghue, S. Setzer, and R. Baraniuk, "Fast alternating direction optimization methods," SIAM J. Imag. Sci., vol. 7, no. 3, pp. 1588-1623, 2014.

IEEE SIgnal ProcESSIng MagazInE

|

January 2017

|

65


http://www.norber http://twiener.umd.edu/

Table of Contents for the Digital Edition of Signal Processing - January 2017

Signal Processing - January 2017 - Cover1
Signal Processing - January 2017 - Cover2
Signal Processing - January 2017 - 1
Signal Processing - January 2017 - 2
Signal Processing - January 2017 - 3
Signal Processing - January 2017 - 4
Signal Processing - January 2017 - 5
Signal Processing - January 2017 - 6
Signal Processing - January 2017 - 7
Signal Processing - January 2017 - 8
Signal Processing - January 2017 - 9
Signal Processing - January 2017 - 10
Signal Processing - January 2017 - 11
Signal Processing - January 2017 - 12
Signal Processing - January 2017 - 13
Signal Processing - January 2017 - 14
Signal Processing - January 2017 - 15
Signal Processing - January 2017 - 16
Signal Processing - January 2017 - 17
Signal Processing - January 2017 - 18
Signal Processing - January 2017 - 19
Signal Processing - January 2017 - 20
Signal Processing - January 2017 - 21
Signal Processing - January 2017 - 22
Signal Processing - January 2017 - 23
Signal Processing - January 2017 - 24
Signal Processing - January 2017 - 25
Signal Processing - January 2017 - 26
Signal Processing - January 2017 - 27
Signal Processing - January 2017 - 28
Signal Processing - January 2017 - 29
Signal Processing - January 2017 - 30
Signal Processing - January 2017 - 31
Signal Processing - January 2017 - 32
Signal Processing - January 2017 - 33
Signal Processing - January 2017 - 34
Signal Processing - January 2017 - 35
Signal Processing - January 2017 - 36
Signal Processing - January 2017 - 37
Signal Processing - January 2017 - 38
Signal Processing - January 2017 - 39
Signal Processing - January 2017 - 40
Signal Processing - January 2017 - 41
Signal Processing - January 2017 - 42
Signal Processing - January 2017 - 43
Signal Processing - January 2017 - 44
Signal Processing - January 2017 - 45
Signal Processing - January 2017 - 46
Signal Processing - January 2017 - 47
Signal Processing - January 2017 - 48
Signal Processing - January 2017 - 49
Signal Processing - January 2017 - 50
Signal Processing - January 2017 - 51
Signal Processing - January 2017 - 52
Signal Processing - January 2017 - 53
Signal Processing - January 2017 - 54
Signal Processing - January 2017 - 55
Signal Processing - January 2017 - 56
Signal Processing - January 2017 - 57
Signal Processing - January 2017 - 58
Signal Processing - January 2017 - 59
Signal Processing - January 2017 - 60
Signal Processing - January 2017 - 61
Signal Processing - January 2017 - 62
Signal Processing - January 2017 - 63
Signal Processing - January 2017 - 64
Signal Processing - January 2017 - 65
Signal Processing - January 2017 - 66
Signal Processing - January 2017 - 67
Signal Processing - January 2017 - 68
Signal Processing - January 2017 - 69
Signal Processing - January 2017 - 70
Signal Processing - January 2017 - 71
Signal Processing - January 2017 - 72
Signal Processing - January 2017 - 73
Signal Processing - January 2017 - 74
Signal Processing - January 2017 - 75
Signal Processing - January 2017 - 76
Signal Processing - January 2017 - 77
Signal Processing - January 2017 - 78
Signal Processing - January 2017 - 79
Signal Processing - January 2017 - 80
Signal Processing - January 2017 - 81
Signal Processing - January 2017 - 82
Signal Processing - January 2017 - 83
Signal Processing - January 2017 - 84
Signal Processing - January 2017 - 85
Signal Processing - January 2017 - 86
Signal Processing - January 2017 - 87
Signal Processing - January 2017 - 88
Signal Processing - January 2017 - 89
Signal Processing - January 2017 - 90
Signal Processing - January 2017 - 91
Signal Processing - January 2017 - 92
Signal Processing - January 2017 - 93
Signal Processing - January 2017 - 94
Signal Processing - January 2017 - 95
Signal Processing - January 2017 - 96
Signal Processing - January 2017 - 97
Signal Processing - January 2017 - 98
Signal Processing - January 2017 - 99
Signal Processing - January 2017 - 100
Signal Processing - January 2017 - 101
Signal Processing - January 2017 - 102
Signal Processing - January 2017 - 103
Signal Processing - January 2017 - 104
Signal Processing - January 2017 - 105
Signal Processing - January 2017 - 106
Signal Processing - January 2017 - 107
Signal Processing - January 2017 - 108
Signal Processing - January 2017 - 109
Signal Processing - January 2017 - 110
Signal Processing - January 2017 - 111
Signal Processing - January 2017 - 112
Signal Processing - January 2017 - 113
Signal Processing - January 2017 - 114
Signal Processing - January 2017 - 115
Signal Processing - January 2017 - 116
Signal Processing - January 2017 - Cover3
Signal Processing - January 2017 - Cover4
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_201809
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_201807
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_201805
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_201803
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_201801
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1117
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0917
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0717
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0517
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0317
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0117
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1116
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0916
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0716
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0516
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0316
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0116
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1115
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0915
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0715
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0515
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0315
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0115
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1114
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0914
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0714
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0514
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0314
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0114
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1113
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0913
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0713
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0513
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0313
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0113
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1112
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0912
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0712
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0512
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0312
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0112
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1111
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0911
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0711
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0511
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0311
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0111
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1110
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0910
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0710
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0510
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0310
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0110
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1109
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0909
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0709
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0509
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0309
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0109
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_1108
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0908
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0708
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0508
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0308
https://www.nxtbook.com/nxtbooks/ieee/signalprocessing_0108
https://www.nxtbookmedia.com