Results 211 to 220 of about 470,894 (260)
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Two-Dimensional Radon-Fourier Transformer
Optical Engineering, 1985The well-known central-slice, or projection-slice, theorem states that the Radon transform can be used to reduce a two-dimensional Fourier transform to a series of one-dimensional Fourier transforms. In this paper we describe a practical system for implementing this theorem.
Anthony J. Ticknor +2 more
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Two-dimensional Fourier-transform spectrometer
Optical Society of America Annual Meeting, 1990A Fourier-transform spectrometer has been built by using a common-path ring design for the as interferometer and a two-dimensional charge-coupled device array for the detector. The detector records the Fourier-Fraunhofer hologram that is produced by the sheared images of the source.
Joel C. Berlinghieri, Russell O. Hilleke
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Two-dimensional visible-infrared Fourier transform spectroscopy
The Thirteenth International Conference on Ultrafast Phenomena, 2002We demonstrate here two-dimensional spectroscopy of a phase-matched sample of known non-linear response by means of coherent measurement of the emitted infrared field after a visible double-pulse excitation.
Belabas, N, Joffre, M
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Two dimensional properties of discrete fourier transform
Calcolo, 1976Two significant two-dimensional decomposition rules for the Discret Fourier Transform of a set of N data (N=2p) are considered. It is shown that the two-dimensional processing performed according to such rules involves exactly the same operations on the same data as the one-dimensional processing.
Bongiovanni G., Corsini P., Frosini G.
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Two-dimensional complex Fourier transform via the Radon transform
Applied Optics, 1985A hybrid system has been constructed to perform the complex Fourier transform of real 2-D data. The system is based on the Radon transform; i.e., operations are performed on 1-D projections of the data. The projections are derived optically from transmissive or reflective objects, and the complex Fourier transform is performed with SAW filters via the ...
R L, Easton, A J, Ticknor, H H, Barrett
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Two dimensional Fourier transform using MATLAB
Proceedings of the 14th International Carpathian Control Conference (ICCC), 2013Two dimensional Fourier transform is a powerful tool for image processing, especially in the field of image restoration and filtration. But also it is useful for detection of periodicities at any angle with respect to the image edge. This paper describes the use of two dimensional Fourier transform in the MATLAB environment to compute the length of a ...
Jaromir Zavadil +4 more
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Two-Dimensional Discrete Fourier Transform
2010Two-dimensional DFT has applications in image/video processing. The extension from 1-D to 2-D for the DFT is straightforward.
K. R. Rao, D. N. Kim, J. J. Hwang
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Two-dimensional Fourier transform ESR spectroscopy
The Journal of Chemical Physics, 1986New Fourier transform ESR techniques, which permit rapid data acquisition of ESR spectra, now allow one to perform a variety of two-dimensional ESR experiments. Two prototype experiments on a fast motional nitroxide spectrum are described. The first is based upon detection of the Han echo and may be used for discriminating the homogeneous broadening of
Jeff Gorcester, Jack H. Freed
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Two-dimensional microwave Fourier transform spectroscopy
The Journal of Chemical Physics, 1990New two-dimensional correlation techniques in the field of pulsed microwave Fourier transform spectroscopy are presented. Five different pulse sequences were used to demonstrate connections between rotational transitions with well separated or with closely spaced frequencies.
B. Vogelsanger, A. Bauder
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Two-Dimensional Chirped-Pulse Fourier Transform Microwave Spectroscopy
The Journal of Physical Chemistry A, 2011Two-dimensional (2D) correlation techniques are developed for chirped-pulse Fourier transform microwave (CP-FTMW) spectroscopy. The broadband nature of the spectrometer coupled with fast digital electronics permits the generation of arbitrary pulse sequences and simultaneous detection of the 8-18 GHz region of the microwave spectrum. This significantly
David S, Wilcox +2 more
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