Relevant bibliographies by topics / Reconvolution

Academic literature on the topic 'Reconvolution'

Author: Grafiati
Published: 10 December 2022
Last updated: 30 January 2023

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Journal articles on the topic "Reconvolution"

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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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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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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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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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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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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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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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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Conference papers on the topic "Reconvolution"

1

Welayaturromadhona*, Widya Utama, Firman Syaifuddin, and How Wei Chen. "Resolution Enhancement for Hydrate Imaging by Loop Reconvolution." In International Geophysical Conference, Qingdao, China, 17-20 April 2017. Society of Exploration Geophysicists and Chinese Petroleum Society, 2017. http://dx.doi.org/10.1190/igc2017-234.

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Li, Fudong, Dongyang Gao, Yuequan Yang, Zhiqiang Cao, and Wei Wang. "ReCUS: Reconvolution and Upsampling Network for Object Detection." In 2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS). IEEE, 2021. http://dx.doi.org/10.1109/ccis53392.2021.9754606.

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Huang, Yishi, and Robert E. Imhof. "Transient surface grating decay analysis using least-squares reconvolution." In PHOTOACOUSTIC AND PHOTOTHERMAL PHENOMENA. ASCE, 1999. http://dx.doi.org/10.1063/1.58111.

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Babasafari, Amir, Hesam Kazemeini, and Farzaneh Bayati. "Enhancing seismic data resolution by integrating seismic spectral Blueing and Reconvolution of thin bed reflectivity techniques: a new approach to resolve thin beds pay zones." In International Conference and Exhibition, Barcelona, Spain, 3-6 April 2016. Society of Exploration Geophysicists and American Association of Petroleum Geologists, 2016. http://dx.doi.org/10.1190/ice2016-6513081.1.

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