Biblio
Filters: Author is George K. Atia [Clear All Filters]
Sparse Signal Processing With Linear and Nonlinear Observations: A Unified Shannon-Theoretic Approach. {IEEE} Trans. Information Theory. 63:749–776.
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2017.
Correction to "Boolean Compressed Sensing and Noisy Group Testing". {IEEE} Trans. Information Theory. 61:1507.
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2015.
Compressive sensing bounds through a unifying framework for sparse models. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2013, Vancouver, BC, Canada, May 26-31, 2013. :5524–5528.
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2013.
Sparse signal processing with linear and non-linear observations: A unified shannon theoretic approach. 2013 {IEEE} Information Theory Workshop, {ITW} 2013, Sevilla, Spain, September 9-13, 2013. :1–5.
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2013.
Boolean Compressed Sensing and Noisy Group Testing. {IEEE} Trans. Information Theory. 58:1880–1901.
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2012.
Sample complexity of salient feature identification for sparse signal processing. {IEEE} Statistical Signal Processing Workshop, {SSP} 2012, Ann Arbor, MI, USA, August 5-8, 2012. :329–332.
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2012.
Boolean Compressed Sensing and Noisy Group Testing. CoRR. abs/0907.1061
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2009.
A technical framework for light- handed regulation of cognitive radios. {IEEE} Communications Magazine. 47:96–102.
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2009.
On Optimal Outage in Relay Channels With General Fading Distributions. {IEEE} Trans. Information Theory. 53:3786–3797.
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2007.
Effect of Geometry on the Diversity-Multiplexing Tradeoff in Relay Channels. Proceedings of the Global Telecommunications Conference, 2006. {GLOBECOM} '06, San Francisco, CA, USA, 27 November - 1 December 2006.
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2006.