Gotowa bibliografia na temat „Radar quantique”
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Artykuły w czasopismach na temat "Radar quantique"
Blanchard, Sophie, i Caroline Schickelé. "La pédagogie par l’image. Entretien avec Ève Barlier". Radar, nr 8 (1.05.2023): 103–21. http://dx.doi.org/10.57086/radar.638.
Pełny tekst źródłaMuravev, A. V., A. Yu Bundel, D. B. Kiktev i A. V. Smirnov. "Expertise in spatial verification of radar precipitation nowcasting: identification and statistics of objects, situations and conditional samples". Hydrometeorological research and forecasting 2 (16.06.2022): 6–52. http://dx.doi.org/10.37162/2618-9631-2022-2-6-52.
Pełny tekst źródłaSong, Linye, Shangfeng Chen, Yun Li, Duo Qi, Jiankun Wu, Mingxuan Chen i Weihua Cao. "The Quantile-Matching Approach to Improving Radar Quantitative Precipitation Estimation in South China". Remote Sensing 13, nr 23 (6.12.2021): 4956. http://dx.doi.org/10.3390/rs13234956.
Pełny tekst źródłaWu, Shiang-Jen, Ho-Cheng Lien, Chih-Tsung Hsu, Che-Hao Chang i Jhih-Cyuan Shen. "Modeling probabilistic radar rainfall estimation at ungauged locations based on spatiotemporal errors which correspond to gauged data". Hydrology Research 46, nr 1 (26.12.2013): 39–59. http://dx.doi.org/10.2166/nh.2013.197.
Pełny tekst źródłaGyasi-Agyei, Yeboah. "Identification of the Optimum Rain Gauge Network Density for Hydrological Modelling Based on Radar Rainfall Analysis". Water 12, nr 7 (3.07.2020): 1906. http://dx.doi.org/10.3390/w12071906.
Pełny tekst źródłaZahiri, Eric-Pascal, Modeste Kacou, Marielle Gosset i Sahouarizié Adama Ouattara. "Modeling the Interdependence Structure between Rain and Radar Variables Using Copulas: Applications to Heavy Rainfall Estimation by Weather Radar". Atmosphere 13, nr 8 (15.08.2022): 1298. http://dx.doi.org/10.3390/atmos13081298.
Pełny tekst źródłaBrommundt, J., i A. Bárdossy. "Spatial correlation of radar and gauge precipitation data in high temporal resolution". Advances in Geosciences 10 (26.04.2007): 103–9. http://dx.doi.org/10.5194/adgeo-10-103-2007.
Pełny tekst źródłaRudolph, James V., Katja Friedrich i Urs Germann. "Relationship between Radar-Estimated Precipitation and Synoptic Weather Patterns in the European Alps". Journal of Applied Meteorology and Climatology 50, nr 5 (maj 2011): 944–57. http://dx.doi.org/10.1175/2010jamc2570.1.
Pełny tekst źródłaTinoy, M. M., A. U. Novero, K. P. Landicho, A. B. Baloloy i A. C. Blanco. "URBAN EFFECTS ON LAND SURFACE TEMPERATURE IN DAVAO CITY, PHILIPPINES". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W19 (23.12.2019): 433–40. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w19-433-2019.
Pełny tekst źródłaDing, Rong, Haiming Jin, Dong Xiang, Xiaocheng Wang, Yongkui Zhang, Dingman Shen, Lu Su i in. "Soil Moisture Sensing with UAV-Mounted IR-UWB Radar and Deep Learning". Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, nr 1 (27.03.2022): 1–25. http://dx.doi.org/10.1145/3580867.
Pełny tekst źródłaRozprawy doktorskie na temat "Radar quantique"
Borderieux, Sylvain. "Apport de la théorie de l’information quantique dans la perspective du radar quantique". Electronic Thesis or Diss., Brest, École nationale supérieure de techniques avancées Bretagne, 2022. http://www.theses.fr/2022ENTA0011.
Pełny tekst źródłaThis thesis provides an original approach of the quantum illumination radar using the quantum information theory to study the evolution of quantum correlations in a radar system. We first propose a parallel between the classical radar theory and the quantum radar theory to determine similarities anf differences insisting on the last point. The quantum illumination radar uses pairs of entangled photons to detect the absence of the presence of a low-reflecting object into a bright thermal background that disturbs the detection. Using the parallel between the radar theories, research has been done on the atmospheric influence on the evolution of entanglement of the system of photons in the radar, and on the evolution of quantum correlations quantified by the quantum discord. The objective of research was to show a link between the quantum discord and the binary decision strategy of the quantum radar. Results suggest this link even if improvements should be required on the tested models. It should permit to study practical situations particularly if we think about a possible experiment on a quantum illumination protocol
Baili, Ghaya. "Contribution à la réduction du bruit d'intensité relatif des lasers à semiconducteurs pour des applications aux radars". Paris 11, 2008. http://www.theses.fr/2008PA112362.
Pełny tekst źródłaThe objective of the following thesis is to study two original techniques aiming at reducing the Relative Intensity Noise (RIN) of semiconductor lasers used in optical links for transmission of radar signals. Within the first technique, a dispersion compensating fiber exhibiting low losses is used to study the phase to amplitude noise and amplitude to phase noise conversion mechanisms with a very good signal-to-noise ratio over à 20 GHz bandwidth. The second technique consists in increasing the photon lifetime well above the carrier lifetime in order to eliminate adiabatically the carrier population effects, leading to a relaxation oscillation free class-A laser operation. Two laser architectures have been proposed, theoretically analyzed and experimentally validated. The first configuration is based on a semiconductor optical amplifier in a long fibred cavity. The second one uses a ½-VCSEL in a high-Q external cavity. For both configurations, we demonstrated that class-A laser operation leads to a shot-noise-limited RIN (at -155 dB/Hz for 1 mA detected) over a frequency bandwidth from 100 MHz to 18 GHz
Części książek na temat "Radar quantique"
Marghany, Maged. "Quantize of scattering theory". W Synthetic Aperture Radar Imaging Mechanism for Oil Spills, 73–92. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-818111-9.00005-7.
Pełny tekst źródłaStreszczenia konferencji na temat "Radar quantique"
Pavy, Anne M., i Brian D. Rigling. "Phase modulated radar waveform classification using quantile one-class SVMs". W 2015 IEEE International Radar Conference (RadarCon). IEEE, 2015. http://dx.doi.org/10.1109/radar.2015.7131095.
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