Publications about 'Signal Sampling'

Articles in journal or book chapters

1. Viet Thuy Vu and Mats I. Pettersson. Nyquist Sampling Requirements for Polar Grids in Bistatic Time-Domain Algorithms. IEEE Transactions on Signal Processing, 63(2):457-465, January 2015. Keyword(s): SAR Processing, Time-Domain Back-Projection, TDBP, Fast-Factorized Back-Projection, FFBP, Bistatic SAR, Bistatic Fast-Factorized Back-Projection, BiFFBP, radar signal processing, signal sampling, Nyquist sampling, airborne bistatic system, bistatic CARABAS-II like data, bistatic cases, bistatic time-domain algorithms, general bistatic geometry, polar grids, Geometry, Radar polarimetry, Receivers, Signal processing algorithms, Synthetic aperture radar, Time-domain analysis, Transmitters, Bistatic, Nyquist sampling, SAR, fast backprojection. [Abstract] [bibtex-entry]



2. E.J. Candes and Y. Plan. Matrix Completion With Noise. Proceedings of the IEEE, 98(6):925-936, 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] [bibtex-entry]



3. E.J. Candes and M.B. Wakin. An Introduction To Compressive Sampling. IEEE Signal Processing Magazine, 25(2):21-30, March 2008. Keyword(s): Relatively few wavelet, compressed sensing, compressive sampling, data acquisition, image recovery, sampling paradigm, sensing paradigm, signal recovery, data acquisition, image processing, signal processing equipment, signal sampling;. [Abstract] [bibtex-entry]



4. Fabrizio Lombardini and Matteo Pardini. 3-D SAR Tomography: The Multibaseline Sector Interpolation Approach. IEEE Geoscience and Remote Sensing Letters, 5(4):630-634, Oct. 2008. Keyword(s): SAR Processing, Tomography, SAR Tomography, Multi-baseline SAR, Interpolation, Sector Interpolation, 3-D imaging, SAR Interferometry, Interferometry, InSAR, Spectral Analysis, Electromagnetic Tomography, Signal Sampling. [Abstract] [bibtex-entry]



5. C. Castillo-Rubio, S. Llorente-Romano, and M. Burgos-Garcia. Robust SVA method for every sampling rate condition. IEEE Transactions on Aerospace and Electronic Systems, 43(2):571 -580, April 2007. Keyword(s): SAR Processing, Apodization, Spatially Variant Apodization, SVA, SAR system, finite signal sampling rate condition, nonlinear filtering, robust SVA method, sidelobe levels signal resolution, synthetic aperture radar, target detection capability, two-dimensional generalization, variant filter, image resolution. [Abstract] [bibtex-entry]



6. 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]



7. Jeffrey A. Fessler and B. P. Sutton. Nonuniform fast Fourier transforms using min-max interpolation. IEEE Transactions on Signal Processing, 51(2):560-574, February 2003. Keyword(s): fast Fourier transforms, frequency-domain analysis, interpolation, minimax techniques, multidimensional signal processing, signal sampling, FFT, Kaiser-Bessel function, frequency domain, min-max interpolation, multidimensional signals, nonuniform FT, nonuniform fast Fourier transforms, nonuniform sampling, signal processing, worst-case approximation error, Approximation error, Fast Fourier transforms, Frequency domain analysis, Image reconstruction, Interpolation, Iterative methods, Magnetic resonance imaging, Multidimensional signal processing, Multidimensional systems, Nonuniform sampling, NFFT, nonuniform FFT, nonequispaced FFT. [Abstract] [bibtex-entry]

Conference articles

1. 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.

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