Digital Signal Processing Reference
In-Depth Information
References
1. Usps handwritten digit database. In http:// www-i6.informatik.rwth-aachen.de/ keysers/ usps.
html .
2. M. Aharon, M. Elad, and A. M. Bruckstein.
The k-svd:
an algorithm for designing
of
overcomplete
dictionaries
for
sparse
representation.
IEEE
Trans.
Signal
Process. ,
54(11):4311-4322, 2006.
3. F. Alizadeh and D. Goldfarb. Second-order cone programming. Mathematics Programming ,
95(1):3-51, 2003.
4. R. Appleby and R. N. Anderton. Millimeter-wave and submillimeter-wave imaging for
security and surveillance. Proceedings of the IEEE , 95(8):1683 -1690, Aug. 2007.
5. S. D. Babacan, M. Luessi, L. Spinoulas, and A. K. Katsaggelos. Compressive passive
millimeter-wave imaging. In IEEE ICIP , 2011.
6. G. R. Baraniuk. Compressive sensing. IEEE Signal Processing Magazine , 24(4):118-121,
July 2007.
7. R.
Baraniuk.
More
is
less:
signal
processing
and
the
data
deluge.
Science ,
331(6018):717-719, 2011.
8. E. van den Berg and M. P. Friedlander. Probing the Pareto frontier for basis pursuit solutions.
Technical report, Department of Computer Science, University of British Columbia.
9. J. M. Bioucas-Dias and M. A. T. Figueiredo. A New TwIST: Two-Step Iterative Shrinkage/
Thresholding Algorithms for image restoration. IEEE Transactions on Image Processing ,
16(12):2992-3004, Dec. 2007.
10. J. D. Blanchard, C. Cartis, J. Tanner, and A. Thompson. Phase transitions for greedy sparse
approximation algorithms. Applied and Computational Harmonic Analysis , 30(2):188-203,
2011.
11. T. Blumensath and E. Davies. Iterative hard thresholding for compressed sensing. preprint .
12. T. Blumensath and E. Davies. Iterative thresholding for sparse approximations. The Journal
of Fourier Analysis and Applications , 14(5):629-654, Dec. 2008.
13. T. Blumensath and M. E Davies. Signal recovery from partial information via orthogonal
matching pursuit. IEEE Transactions on Signal Processing , 56(6):2370-2382, June 2008.
14. K. W. Bowyer and P. J. Flynn. The nd-iris-0405 iris image dataset. NotreDameCVRL
Technical Report .
15. S. Boyd and L. Vandenberghe. Convex Optimization . Cambridge University Press, New York,
NY, 2004.
16. Sara Bradburn, Wade Thomas Cathey, and Edward R. Dowski. Realizations of focus
invariance in optical-digital systems with wave-front coding. Appl. Opt. , 36(35):9157-9166,
Dec. 1997.
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