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Publications about 'discrete-time signal'
Articles in journal or book chapters
-
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):489-509,
feb. 2006.
Keyword(s): Fourier coefficient,
convex optimization,
discrete-time 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]
[bibtex-entry]
Conference articles
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S. Lawrence Marple, Jr..
Computing the discrete-time analytic signal via FFT.
In Signals, Systems and Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on,
volume 2,
pages 1322-1325,
1997.
Keyword(s): Analytic Signal,
discrete time systems,
fast Fourier transforms,
frequency-domain analysis,
signal sampling,
FFT,
complex-valued decimated N/2-point discrete-time analytic signal,
complex-valued interpolated NM-point discrete-time analyticsignal,
complex-valued standard N-point discrete time analytic signal,
discrete-time analytic signal,
frequency-domain algorithms,
real-valued N-point discrete-time signal,
sample rate,
transform end points,
Hilbert Transform.
[Abstract]
[bibtex-entry]
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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: Fri Feb 24 14:23:08 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .
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