DIFFRACTIVE OPTICS, OPTICAL TECHNOLOGIES
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Reconstruction of stable states of spiral vortex beams A. V. Volyar, E. G. Abramochkin, Ya. E. Akimova, M. V. Bretsko
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5 |
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Sinusoidal Gaussian optical vortex as a superposition of two hypergeometric beams V. V. Kotlyar, A. A. Kovalev
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16 |
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Determination of the orbital angular momentum state of a radio wave beam based on quantitative characteristics of a radio communication system E. G. Anufriyev
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22 |
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Generation of linearly polarized modes using a digital micromirror device and phase optimization N. A. Correa-Rojas, R. D. Gallego-Ruiz, M. I. Álvarez-Castaño
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30 |
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Generation and focusing of a second-order vector beam using a subwavelength optical element S. A. Degtyarev, D. A. Savelyev
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39 |
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Quality of wavefront reversal for four-wave interaction in a multimode waveguide with thermal nonlinearity V. V. Ivakhnik, D. R. Kapizov, V. I. Nikonov
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48 |
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Numerical simulation of the performance of a spaceborne Offner imaging hyperspectrometer in the wave optics approximation A. A. Rastorguev, S. I. Kharitonov, N. L. Kazanskii
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56 |
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Increasing the spatial resolution of signals in optical systems V. I. Guzhov, I. O. Marchenko, E. E. Trubilina
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65 |
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Computer vision-based method of pre-alignment of a channel optical waveguide and a lensed fiber P. V. Karnaushkin, M. S. Sklyarenko
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71 |
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Automation of synthesis and ranking of cemented and air-spaced doublets D. H. Nguyen, A. V. Bakholdin
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83 |
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IMAGE PROCESSING, PATTERN RECOGNITION
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Classification of Sentinel-2 satellite images of the Baikal Natural Territory I. V. Bychkov, G. M. Ruzhnikov, R. K. Fedorov, A. K. Popova, Yu. V. Avramenko
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90–96 |
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Detection of retroreflective objects based on search for spatial anomalies S. M. Borzov, O. I. Potaturkin, S. B. Usilov
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97–102 |
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Semi-fragile watermarking with recovery capabilities for HGI compression method A. Yu. Bavrina, V. A. Fedoseev
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103–112 |
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wEscore: quality assessment method of multichannel image visualization with regard to angular resolution D. S. Sidorchuk
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113–120 |
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A method for assessing photorealistic image quality with high resolution S. V. Sai
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121–129 |
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Algorithms for multi-frame image super-resolution under applicative noise based on deep neural networks S. V. Savvin, A. A. Sirota
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130–138 |
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Detection of objects in the images: from likelihood relationships towards scalable and efficient neural networks N. A. Andriyanov, V. E. Dementiev, A. G. Tashlinskiy
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139–159 |
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NUMERICAL METHODS AND DATA ANALYSIS
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Towards energy-efficient neural network calculations E. S. Noskova, I. E. Zakharov, Yu. N. Shkandybin, S. G. Rykovanov
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160–166 |