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Publications about 'convex optimization'
Articles in journal or book chapters

R.G. Baraniuk,
E. Candes,
M. Elad,
and Yi Ma.
Applications of Sparse Representation and Compressive Sensing [Scanning the Issue].
Proceedings of the IEEE,
98(6):906909,
june 2010.
Keyword(s): NPhard,
compressive sensing,
convex optimization,
greedy methods,
highdimensional data,
linear combination,
overcomplete dictionary,
sparse representation,
computational complexity,
signal processing,
sparse matrices;.
[Abstract]
[bibtexentry]

E.J. Candes and Y. Plan.
Matrix Completion With Noise.
Proceedings of the IEEE,
98(6):925936,
june 2010.
Keyword(s): compressed sensing,
convex optimization problem,
data constraints,
low rank matrices,
matrix completion,
nuclear norm minimization,
data integrity,
matrix algebra,
minimisation,
noise,
signal sampling;.
[Abstract]
[bibtexentry]

E.J. Candes,
J. Romberg,
and T. Tao.
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information.
IEEE Transactions on Information Theory,
52(2):489509,
feb. 2006.
Keyword(s): Fourier coefficient,
convex optimization,
discretetime signal,
image reconstruction,
incomplete frequency information,
linear programming,
minimization problem,
nonlinear sampling theorem,
piecewise constant object,
probability value,
robust uncertainty principle,
signal reconstruction,
sparse random matrix,
trigonometric expansion,
Fourier analysis,
convex programming,
image reconstruction,
image sampling,
indeterminancy,
linear programming,
minimisation,
piecewise constant techniques,
probability,
signal reconstruction,
signal sampling,
sparse matrices;.
[Abstract]
[bibtexentry]

E.J. Candes and T. Tao.
Decoding by linear programming.
IEEE Transactions on Information Theory,
51(12):42034215,
December 2005.
Keyword(s): Gaussian random matrix,
basis pursuit,
linear code decoding,
linear programming,
minimization problem,
natural error correcting problem,
simple convex optimization problem,
sparse solution,
uncertainty principle,
Gaussian processes,
convex programming,
decoding,
error correction codes,
indeterminancy,
linear codes,
linear programming,
minimisation,
random codes,
sparse matrices;.
[Abstract]
[bibtexentry]
Conference articles

E. Candes and J. Romberg.
Robust Signal Recovery from Incomplete Observations.
In Proc. IEEE Int. Conf. Image Processing,
pages 12811284,
October 2006.
Keyword(s): convex optimization program,
linear measurement,
sparse signal reconstruction,
convex programming,
signal reconstruction;.
[Abstract]
[bibtexentry]
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Please note that access to full text PDF versions of papers is restricted to the Chair of Earth Observation and Remote Sensing, Institute of Environmental Engineering, ETH Zurich.
Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to
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This collection of SAR literature is far from being complete. It is rather a collection of papers which I store in my literature data base. Hence, the list of publications under PUBLICATIONS OF AUTHOR'S NAME
should NOT be mistaken for a complete bibliography of that author.
Last modified: Mon Feb 1 16:39:29 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology  ETH Zurich .
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