A. Daniels, “Infrared systems – technology & design,” SPIE Short Course SC835, 279 (2015).

Y. Rachlin, V. Shah, R. H. Shepard, and T. Shih, “Dynamic optically multiplexed imaging,” Proc. SPIE 9600, 96003 (2015).

S. Uttam, N. A. Goodman, M. A. Neifeld, C. Kim, R. John, J. Kim, and D. Brady, “Optically multiplexed imaging with superposition space tracking,” Opt. Express 17(3), 1691–1713 (2009).

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D. L. Donoho, A. Maleki, and A. Montanari, “Message-passing algorithms for compressed sensing,” Proc. Natl. Acad. Sci. U.S.A. 106(45), 18914–18919 (2009).

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R. F. Marcia, C. Kim, C. Eldeniz, J. Kim, D. J. Brady, and R. M. Willett, “Superimposed video disambiguation for increased field of view,” Opt. Express 16(21), 16352–16363 (2008).

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C. Y. Chen, T. T. Yang, and W. S. Sun, “Optics system design applying a micro-prism array of a single lens stereo image pair,” Opt. Express 16(20), 15495–15505 (2008).

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J. Sasian, “Interpretation of pupil aberrations in imaging systems,” Proc. SPIE 6342, 634208 (2006).

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E. J. Candes and T. Tao, “Near-optimal signal recovery from random projections: universal encoding strategies?” IEEE Trans. Inf. Theory 52(12), 5406–5425 (2006).

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D. L. Donoho, “Compressed sensing,” IEEE Trans. Inf. Theory 52(4), 1289–1306 (2006).

[Crossref]

S. G. Mallat and Z. Zhang, “Matching pursuits with time-frequency dictionaries,” Signal Processing, IEEE Transactions on 41(12), 3397–3415 (1993).

[Crossref]

D. Shafer, “Aberration Theory and the Meaning of Life,” Proc. SPIE 554, 25 (1986).

[Crossref]

C. C. Paige and M. A. Saunders, “LSQR: An algorithm for sparse linear equations and sparse least squares,” TOMS 8(1), 43–71 (1982).

[Crossref]

A. Mahalanobis, M. Neifeld, V. K. Bhagavatula, T. Haberfelde, and D. Brady, “Off-axis sparse aperture imaging using phase optimization techniques for application in wide-area imaging systems,” Appl. Opt. 48(28), 5212–5224 (2009).

[Crossref]
[PubMed]

S. Uttam, N. A. Goodman, M. A. Neifeld, C. Kim, R. John, J. Kim, and D. Brady, “Optically multiplexed imaging with superposition space tracking,” Opt. Express 17(3), 1691–1713 (2009).

[Crossref]
[PubMed]

E. J. Candes and T. Tao, “Near-optimal signal recovery from random projections: universal encoding strategies?” IEEE Trans. Inf. Theory 52(12), 5406–5425 (2006).

[Crossref]

A. Daniels, “Infrared systems – technology & design,” SPIE Short Course SC835, 279 (2015).

D. L. Donoho, A. Maleki, and A. Montanari, “Message-passing algorithms for compressed sensing,” Proc. Natl. Acad. Sci. U.S.A. 106(45), 18914–18919 (2009).

[Crossref]
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D. L. Donoho, “Compressed sensing,” IEEE Trans. Inf. Theory 52(4), 1289–1306 (2006).

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R. Gupta, P. Indyk, E. Price, and Y. Rachlin, “Compressive sensing with local geometric features,” Proc. of the 27th annual ACM symposium on computational geometry, 87–98, ACM (2011).

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S. Uttam, N. A. Goodman, M. A. Neifeld, C. Kim, R. John, J. Kim, and D. Brady, “Optically multiplexed imaging with superposition space tracking,” Opt. Express 17(3), 1691–1713 (2009).

[Crossref]
[PubMed]

R. F. Marcia, C. Kim, C. Eldeniz, J. Kim, D. J. Brady, and R. M. Willett, “Superimposed video disambiguation for increased field of view,” Opt. Express 16(21), 16352–16363 (2008).

[Crossref]
[PubMed]

S. Uttam, N. A. Goodman, M. A. Neifeld, C. Kim, R. John, J. Kim, and D. Brady, “Optically multiplexed imaging with superposition space tracking,” Opt. Express 17(3), 1691–1713 (2009).

[Crossref]
[PubMed]

R. F. Marcia, C. Kim, C. Eldeniz, J. Kim, D. J. Brady, and R. M. Willett, “Superimposed video disambiguation for increased field of view,” Opt. Express 16(21), 16352–16363 (2008).

[Crossref]
[PubMed]

D. L. Donoho, A. Maleki, and A. Montanari, “Message-passing algorithms for compressed sensing,” Proc. Natl. Acad. Sci. U.S.A. 106(45), 18914–18919 (2009).

[Crossref]
[PubMed]

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[Crossref]

D. L. Donoho, A. Maleki, and A. Montanari, “Message-passing algorithms for compressed sensing,” Proc. Natl. Acad. Sci. U.S.A. 106(45), 18914–18919 (2009).

[Crossref]
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V. Treeaporn, A. Ashok, and M. A. Neifeld, “Increased field of view through optical multiplexing,” Opt. Express 18(21), 22432–22445 (2010).

[Crossref]
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S. Uttam, N. A. Goodman, M. A. Neifeld, C. Kim, R. John, J. Kim, and D. Brady, “Optically multiplexed imaging with superposition space tracking,” Opt. Express 17(3), 1691–1713 (2009).

[Crossref]
[PubMed]

C. C. Paige and M. A. Saunders, “LSQR: An algorithm for sparse linear equations and sparse least squares,” TOMS 8(1), 43–71 (1982).

[Crossref]

R. Gupta, P. Indyk, E. Price, and Y. Rachlin, “Compressive sensing with local geometric features,” Proc. of the 27th annual ACM symposium on computational geometry, 87–98, ACM (2011).

[Crossref]

Y. Rachlin, V. Shah, R. H. Shepard, and T. Shih, “Dynamic optically multiplexed imaging,” Proc. SPIE 9600, 96003 (2015).

R. Gupta, P. Indyk, E. Price, and Y. Rachlin, “Compressive sensing with local geometric features,” Proc. of the 27th annual ACM symposium on computational geometry, 87–98, ACM (2011).

[Crossref]

J. Sasian, “Interpretation of pupil aberrations in imaging systems,” Proc. SPIE 6342, 634208 (2006).

[Crossref]

C. C. Paige and M. A. Saunders, “LSQR: An algorithm for sparse linear equations and sparse least squares,” TOMS 8(1), 43–71 (1982).

[Crossref]

D. Shafer, “Aberration Theory and the Meaning of Life,” Proc. SPIE 554, 25 (1986).

[Crossref]

Y. Rachlin, V. Shah, R. H. Shepard, and T. Shih, “Dynamic optically multiplexed imaging,” Proc. SPIE 9600, 96003 (2015).

Y. Rachlin, V. Shah, R. H. Shepard, and T. Shih, “Dynamic optically multiplexed imaging,” Proc. SPIE 9600, 96003 (2015).

Y. Rachlin, V. Shah, R. H. Shepard, and T. Shih, “Dynamic optically multiplexed imaging,” Proc. SPIE 9600, 96003 (2015).

E. J. Candes and T. Tao, “Near-optimal signal recovery from random projections: universal encoding strategies?” IEEE Trans. Inf. Theory 52(12), 5406–5425 (2006).

[Crossref]

S. G. Mallat and Z. Zhang, “Matching pursuits with time-frequency dictionaries,” Signal Processing, IEEE Transactions on 41(12), 3397–3415 (1993).

[Crossref]

E. J. Candes and T. Tao, “Near-optimal signal recovery from random projections: universal encoding strategies?” IEEE Trans. Inf. Theory 52(12), 5406–5425 (2006).

[Crossref]

D. L. Donoho, “Compressed sensing,” IEEE Trans. Inf. Theory 52(4), 1289–1306 (2006).

[Crossref]

V. Treeaporn, A. Ashok, and M. A. Neifeld, “Increased field of view through optical multiplexing,” Opt. Express 18(21), 22432–22445 (2010).

[Crossref]
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C. Y. Chen, T. T. Yang, and W. S. Sun, “Optics system design applying a micro-prism array of a single lens stereo image pair,” Opt. Express 16(20), 15495–15505 (2008).

[Crossref]
[PubMed]

R. F. Marcia, C. Kim, C. Eldeniz, J. Kim, D. J. Brady, and R. M. Willett, “Superimposed video disambiguation for increased field of view,” Opt. Express 16(21), 16352–16363 (2008).

[Crossref]
[PubMed]

S. Uttam, N. A. Goodman, M. A. Neifeld, C. Kim, R. John, J. Kim, and D. Brady, “Optically multiplexed imaging with superposition space tracking,” Opt. Express 17(3), 1691–1713 (2009).

[Crossref]
[PubMed]

D. L. Donoho, A. Maleki, and A. Montanari, “Message-passing algorithms for compressed sensing,” Proc. Natl. Acad. Sci. U.S.A. 106(45), 18914–18919 (2009).

[Crossref]
[PubMed]

J. Sasian, “Interpretation of pupil aberrations in imaging systems,” Proc. SPIE 6342, 634208 (2006).

[Crossref]

D. Shafer, “Aberration Theory and the Meaning of Life,” Proc. SPIE 554, 25 (1986).

[Crossref]

Y. Rachlin, V. Shah, R. H. Shepard, and T. Shih, “Dynamic optically multiplexed imaging,” Proc. SPIE 9600, 96003 (2015).

S. G. Mallat and Z. Zhang, “Matching pursuits with time-frequency dictionaries,” Signal Processing, IEEE Transactions on 41(12), 3397–3415 (1993).

[Crossref]

A. Daniels, “Infrared systems – technology & design,” SPIE Short Course SC835, 279 (2015).

C. C. Paige and M. A. Saunders, “LSQR: An algorithm for sparse linear equations and sparse least squares,” TOMS 8(1), 43–71 (1982).

[Crossref]

M. D. Stenner, P. Shankar, and M. A. Neifeld, “Wide-Field Feature-Specific Imaging,” in Frontiers in Optics 2007, OSA Technical Digest (Optical Society of America, 2007), paper FMJ2.

R. Gupta, P. Indyk, E. Price, and Y. Rachlin, “Compressive sensing with local geometric features,” Proc. of the 27th annual ACM symposium on computational geometry, 87–98, ACM (2011).

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Y. C. Pati, R. Rezaiifar, and P. S. Krishnaprasad, “Orthogonal matching pursuit: Recursive function approximation with applications to wavelet decomposition,” Proc. 27th Asilomar Conference on Signals, Systems and Computers. IEEE Computer Society Press, 40 (1993).

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