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We propose several sampling architectures for the efficient acquisition of an ensemble of correlated signals.
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J. Romberg, “Compressive sensing by random convolution,” SIAM J. Imag. Sci. , vol. 2, no. 4, pp. 1098–1128, 2009
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J. Tropp and J. Laska and M. Duarte and J. Romberg, and R. Baraniuk, “Beyond Nyquist: Efficient sampling of sparse bandlimited signals,” IEEE Trans. Inform. Theory , vol. 56, no. 1, pp. 520–544, 2010
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K. Mohan and M. Fazel, “New restricted isometry results for noisy low-rank recovery,” in Proc. IEEE Int. Symp. Inform. Theory (ISIT) , Austin, Texas, June 2010
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J. Yoo, C. Turnes, E. Nakamura, C. Le, S. Becker, E. Sovero, M. Wakin, M. Grant, J. Romberg, A. Emami-Neyestanak, and E. Candès, “A compressed sensing parameter extraction platform for radar pulse signal acquisition,” Submitted to IEEE J. Emerg. Sel. Topics Circuits Syst. , February 2012
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M. F. Duarte and R. G. Baraniuk, “Spectral compressive sensing,” Appl. Comp. Harm. Analysis , vol. 35, no. 1, pp. 111–129, July 2013
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G. Tang, B. N. Bhaskar, P. Shah, and B. Recht, “Compressed sensing off the grid,” IEEE Trans. Inform. Theory , vol. 59, no. 11, pp. 7465–7490, 2013
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E. J. Candès and C. Fernandez-Granda, “Towards a mathematical theory of super-resolution,” Comm. Pure Appl. Math. , vol. 67, no. 6, pp. 906–956, June 2014
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M. S. Asif and J. Romberg, “Sparse recovery of streaming signals using ℓ 1 \ell_{1} -homotopy,” IEEE Trans. Sig. Process. , vol. 62, no. 16, pp. 4209–4223, 2014
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Ali Ahmed and Justin Romberg, “Compressive multiplexing of correlated signals,” IEEE Trans. Inform. Theory , vol. 1, pp. 479–498, 2015
2015
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W. Mantzel and J. Romberg, “Compressed subspace matching on the continuum,” Information and Inference: A Journal of the IMA , vol. 4, no. 2, pp. 79–107, 2015
2015
Closest in time.