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Journal articles on the topic 'Reconvolution'

To see the other types of publications on this topic, follow the link: Reconvolution.

Author: Grafiati

Published: 10 December 2022

Last updated: 30 January 2023

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1

Redon, Roland, Belkacem Ferhat, and Jacques Richou. "A reconvolution spectroscopic method." Journal of Quantitative Spectroscopy and Radiative Transfer 58, no. 2 (August 1997): 151–70. http://dx.doi.org/10.1016/s0022-4073(97)00035-6.

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2

Večeř, J., A. A. Kowalczyk, L. Davenport, and R. E. Dale. "Reconvolution analysis in time‐resolved fluorescence experiments—an alternative approach: Reference‐to‐excitation‐to‐fluorescence reconvolution." Review of Scientific Instruments 64, no. 12 (December 1993): 3413–24. http://dx.doi.org/10.1063/1.1144312.

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3

Novikov, Eugene G. "Reference reconvolution analysis by phase plane method." Review of Scientific Instruments 69, no. 7 (July 1998): 2603–10. http://dx.doi.org/10.1063/1.1148987.

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4

Goez, Martin. "Evaluation of flash CIDNP experiments by iterative reconvolution." Chemical Physics Letters 165, no. 1 (January 1990): 11–14. http://dx.doi.org/10.1016/0009-2614(90)87003-a.

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5

Portilla, F. D., and R. Freeman. "Measurement of Spin Coupling Constants by Decoupling and Reconvolution." Journal of Magnetic Resonance, Series A 104, no. 3 (October 1993): 358–62. http://dx.doi.org/10.1006/jmra.1993.1236.

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6

Lami, Hans, and Etienne Piémont. "Fluorescence decay analysis by iterative reconvolution based on the estimated covariance matrix." Chemical Physics 163, no. 1 (June 1992): 149–59. http://dx.doi.org/10.1016/0301-0104(92)80148-o.

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7

Marsh, Andrew J., Garry Rumbles, Ian Soutar, and Linda Swanson. "Auto-reconvolution: a new method of data retrieval from time-resolved emission anisotropy measurements." Chemical Physics Letters 195, no. 1 (July 1992): 31–36. http://dx.doi.org/10.1016/0009-2614(92)85906-q.

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8

Egerton, R. F. "Developments in the processing of electron energy-loss spectra." Proceedings, annual meeting, Electron Microscopy Society of America 45 (August 1987): 80–83. http://dx.doi.org/10.1017/s0424820100125385.

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Because the total-inelastic mean free path is generally comparable to the specimen thickness, energy-loss spectra recorded in a TEM contain appreciable contributions from plural (or multiple) scattering, which imparts no additional information but may distort or submerge characteristic features. Happily, the single-scattering spectrum S(E) can be derived from a recorded spectrum by the method of Fourier-log deconvolution; if j(f) and z(f) are the Fourier transforms of the recorded data J(E) and of the zero-loss peak Z(E), the Fourier transform s(f) of the single-scattering distribution S(E) is given by:s(f) = r(f) loge [j(f)/z(f)] (1)Here, r(f) is the Fourier transform of a bell-shaped reconvolution function R(E); if r(f) were omitted from Eq.(l), s(f) would correspond to an ‘ideal’ single-scattering distribution, unbroadened by the instrumental resolution △E.

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9

Ecrepont, Stéphane, Christophe Cudennec, François Anctil, and Anne Jaffrézic. "PUB in Québec: A robust geomorphology-based deconvolution-reconvolution framework for the spatial transposition of hydrographs." Journal of Hydrology 570 (March 2019): 378–92. http://dx.doi.org/10.1016/j.jhydrol.2018.12.052.

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10

Li, Zheng, and Baruch B. Lieber. "Estimation of Organ Transport Function: Model-Free Deconvolution by Recursive Quadratic Programming Optimization." Journal of Biomechanical Engineering 114, no. 4 (November 1, 1992): 482–89. http://dx.doi.org/10.1115/1.2894098.

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A model-free deconvolution method is proposed for evaluating the frequency distribution function of organ transit times. The deconvolution is treated as a nonlinear constrained optimization problem and it is solved by using a modified constrained variable metric approach. The only constraint implemented in the solution is that all the discrete transport function values are not allowed to become negative. The method is tested on model mathematical systems of known analytical transport functions. The tests are performed on systems that included noise in both the input and output functions. The criteria of successful deconvolution are the reconvolution error and, most importantly, the deviation of the computed transport function from the known analytical one. The proposed method is then applied, as a pilot experiment, to biological data obtained from an isolated, perfused rabbit lung preparation contained within a plethysmograph. The results indicate that this type of deconvolution produces stable estimates which faithfully follow the analytical function while negating the need to assume either any functional form for the behavior of the transport function or any educated initial guess of its values.

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11

Won, Chulho, Deokiee Chon, Jehangir Tajik, Binh Q. Tran, G. Blake Robinswood, Kenneth C. Beck, and Eric A. Hoffman. "CT-based assessment of regional pulmonary microvascular blood flow parameters." Journal of Applied Physiology 94, no. 6 (June 1, 2003): 2483–93. http://dx.doi.org/10.1152/japplphysiol.00688.2002.

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To determine regional pulmonary microvascular mean transit times (MTTs), we used electrocardiogram-gated X-ray computed tomographic imaging to follow bolus radiopaque contrast material through the lungs in anesthetized animals (7 dogs and 1 pig, prone and supine). By deconvolution/reconvolution of regional time-attenuation curves obtained from parenchyma and large lobar arteries, we estimated the microvascular residue function and reconstituted the regional microvascular time-attenuation curves and, thus, regional microvascular MTTs. The mean microvascular MTTs in the supine and prone postures were 3.94 ± 1.0 and 3.40 ± 0.84 (mean ± SD), respectively. The dependent-nondependent vertical gradient of MTT was greater in the supine [slope = 0.25 ± 0.10 (SD), P < 0.001 by t-test] than in the prone (−0.03 ± 0.06 in 6 of 8 animals; 2 outliers had positive slopes) posture. In both postures, there was a trend toward faster transit times in the dorsal-basal lung region in six of the eight animals, suggesting gravity-independent higher vascular conductance dorsocaudally. We conclude that deconvolution methods, in association with electrocardiogram-gated high-speed X-ray computed tomography, can provide insights into regional heterogeneity of pulmonary microvascular MTT in vivo.

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12

Kim, Dong-geon, Sangmin Lee, Junesic Park, Jaebum Son, Yong Hyun Kim, and Yong Kyun Kim. "Characteristics of 3D Printed Plastic Scintillator." EPJ Web of Conferences 225 (2020): 01005. http://dx.doi.org/10.1051/epjconf/202022501005.

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Digital Light Processing (DLP) 3D printing technique can be a powerful tool to fabricate plastic scintillator with a geometrically desired shape in innovatively fast time. Plastic scintillator with the size of 30 mm × 30 mm × 10 mm was fabricated by using the plastic resin and the DLP 3D printer (ASIGA, Pico2HD). The characteristics of decay time, energy resolution, intrinsic detection efficiency were analyzed and compared between the fabricated 3D printing plastic scintillator and a commercial plastic scintillator BC408 (Saint-Gobain Crystal). Decay time profile of the tested plastic scintillators was measured for 137Cs Compton maximum electron 477 keV by using a modified time correlated single photon counting (TCSPC) setup. The time profile was fitted by reconvolution function, and each decay time component and contribution was analyzed. For energy resolution of plastic scintillator, the Gaussian spectrum for 137Cs Compton maximum electron 477 keV was selectively measured by using the γ-γ coincidence experimental setup. As a result, it was confirmed that the 3D printing plastic scintillator showed average decay time 15.6 ns and energy resolution 15.4%. These characteristics demonstrates the feasibility of 3D printing plastic scintillator as a radiation detector.

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13

Halpern, Arthur M. "Iterative Fourier reconvolution spectroscopy: van der Waals broadening of Rydberg transitions; the ~B .rarw. ~X (5p, 6s) transition of methyl iodide." Journal of Physical Chemistry 96, no. 6 (March 1992): 2448–55. http://dx.doi.org/10.1021/j100185a012.

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14

Halpern, Arthur M., and B. R. Ramachandran. "Iterative Fourier reconvolution spectroscopy: van der Waals broadening of the .apprx.X .fwdarw. .apprx.A transition of ammonia by helium, argon, methane and sulfur hexafluoride." Journal of Physical Chemistry 97, no. 1 (January 1993): 77–85. http://dx.doi.org/10.1021/j100103a015.

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15

Liang, Chen, John Castagna, and Ricardo Zavala Torres. "Tutorial: Spectral bandwidth extension — Invention versus harmonic extrapolation." GEOPHYSICS 82, no. 4 (July 1, 2017): W1—W16. http://dx.doi.org/10.1190/geo2015-0572.1.

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Various postprocessing methods can be applied to seismic data to extend the spectral bandwidth and potentially increase the seismic resolution. Frequency invention techniques, including phase acceleration and loop reconvolution, produce spectrally broadened seismic sections but arbitrarily create high frequencies without a physical basis. Tests in extending the bandwidth of low-frequency synthetics using these methods indicate that the invented frequencies do not tie high-frequency synthetics generated from the same reflectivity series. Furthermore, synthetic wedge models indicate that the invented high-frequency seismic traces do not improve thin-layer resolution. Frequency invention outputs may serve as useful attributes, but they should not be used for quantitative work and do not improve actual resolution. On the other hand, under appropriate circumstances, layer frequency responses can be extrapolated to frequencies outside the band of the original data using spectral periodicities determined from within the original seismic bandwidth. This can be accomplished by harmonic extrapolation. For blocky earth structures, synthetic tests show that such spectral extrapolation can readily double the bandwidth, even in the presence of noise. Wedge models illustrate the resulting resolution improvement. Synthetic tests suggest that the more complicated the earth structure, the less valid the bandwidth extension that harmonic extrapolation can achieve. Tests of the frequency invention methods and harmonic extrapolation on field seismic data demonstrate that (1) the frequency invention methods modify the original seismic band such that the original data cannot be recovered by simple band-pass filtering, whereas harmonic extrapolation can be filtered back to the original band with good fidelity and (2) harmonic extrapolation exhibits acceptable ties between real and synthetic seismic data outside the original seismic band, whereas frequency invention methods have unfavorable well ties in the cases studied.

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