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Publications about 'Fourier coefficients'
Articles in journal or book chapters

E.J. Candes and Y. Plan.
A Probabilistic and RIPless Theory of Compressed Sensing.
IEEE Transactions on Information Theory,
57(11):72357254,
November 2011.
Keyword(s): Fourier coefficients,
Gaussian model,
RIPless theory,
compressed sensing,
frequency measurements,
probabilistic theory,
probability distribution,
restricted isometry property,
signal random model,
sparse signals,
Fourier analysis,
data compression,
random processes,
signal reconstruction,
statistical distributions;.
[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]
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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 16:39:50 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology  ETH Zurich .
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