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Статті в журналах з теми "Adaptive snapshots"
YU, Jing, and Yaan LI. "Adaptive Beamforming with Inadequate Snapshots." Journal of Physics: Conference Series 787 (January 2017): 012025. http://dx.doi.org/10.1088/1742-6596/787/1/012025.
Повний текст джерелаLiao, Zhipeng, Keqing Duan, Jinjun He, Zizhou Qiu, and Binbin Li. "Robust Adaptive Beamforming Based on a Convolutional Neural Network." Electronics 12, no. 12 (June 20, 2023): 2751. http://dx.doi.org/10.3390/electronics12122751.
Повний текст джерелаWu, Xun, Jie Luo, Guowei Li, Shurui Zhang, and Weixing Sheng. "Fast Wideband Beamforming Using Convolutional Neural Network." Remote Sensing 15, no. 3 (January 25, 2023): 712. http://dx.doi.org/10.3390/rs15030712.
Повний текст джерелаGong, C., L. Huang, D. Xu, and Z. Ye. "Knowledge‐aided robust adaptive beamforming with small snapshots." Electronics Letters 49, no. 20 (September 2013): 1258–59. http://dx.doi.org/10.1049/el.2013.2198.
Повний текст джерелаBrooker, D. J., Kay L. Gemba, and Laurie T. Fialkowski. "Overcoming snapshot-deficient measurements with knowledge-aided approaches." JASA Express Letters 2, no. 5 (May 2022): 054804. http://dx.doi.org/10.1121/10.0010455.
Повний текст джерелаSun, Xu, and Ranwei Li. "Robust adaptive beamforming method for active sonar in single snapshot." MATEC Web of Conferences 283 (2019): 03006. http://dx.doi.org/10.1051/matecconf/201928303006.
Повний текст джерелаWang, He, Ting Zhang, Lei Cheng, and Hangfang Zhao. "Snapshot-deficient active target localization in beam-time domain using multi-frequency expectation-maximization algorithm." Journal of the Acoustical Society of America 153, no. 2 (February 2023): 990–1003. http://dx.doi.org/10.1121/10.0017164.
Повний текст джерелаUllmann, Sebastian, Marko Rotkvic, and Jens Lang. "POD-Galerkin reduced-order modeling with adaptive finite element snapshots." Journal of Computational Physics 325 (November 2016): 244–58. http://dx.doi.org/10.1016/j.jcp.2016.08.018.
Повний текст джерелаLi, Hongtao, Ke Wang, Chaoyu Wang, Yapeng He, and Xiaohua Zhu. "Robust Adaptive Beamforming Based on Worst-Case and Norm Constraint." International Journal of Antennas and Propagation 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/765385.
Повний текст джерелаCui, Weichen, Tong Wang, Degen Wang, and Kun Liu. "An Efficient Sparse Bayesian Learning STAP Algorithm with Adaptive Laplace Prior." Remote Sensing 14, no. 15 (July 22, 2022): 3520. http://dx.doi.org/10.3390/rs14153520.
Повний текст джерелаДисертації з теми "Adaptive snapshots"
Chetry, Manisha. "Advanced reduced-order modeling and parametric sampling for non-Newtonian fluid flows." Electronic Thesis or Diss., Ecole centrale de Nantes, 2023. http://www.theses.fr/2023ECDN0011.
Повний текст джерелаThe subject of this thesis concernsmodel-order reduction (MOR) of parameterizednon-Newtonian flow problems that havesignificant industrial applications. TraditionalMOR methods constrain the computationalperformance of such highly nonlinear problems,so we suggest a state-of-the-art hyper-reductiontechnique based on a sparse approximation totackle the evaluation of nonlinear terms at muchreduced complexity. We also provide offlinestabilization strategy for stabilizing theconstitutive model in the reduced order modelframework that is less expensive to computewhile maintaining the full order model's (FOM)accuracy. Combining the two significantlylowers the CPU cost as compared to the FOMevaluation which inevitably boosts MORperformance. This work is validated on twobenchmark flow problems. Additionally, anadaptive sampling strategy is also presented inthis manuscript which is achieved byleveraging multi-fidelity model approximation.Towards the end of the thesis, we addressanother issue that is typically observed forcases when adaptive finite element meshesare deployed. In such cases, MOR methods failto produce a low-dimensional representationsince the snapshots are not vectors of samelength. We therefore, suggest an alternatemethod that can generate reduced basisfunctions for database of space-adaptedsnapshots
Kraay, Andrea L. (Andrea Lorraine) 1976. "Physically constrained maximum likelihood method for snapshot deficient adaptive array processing." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87331.
Повний текст джерела"February 2003."
Includes bibliographical references (leaves 139-141).
by Andrea L. Kraay.
Elec.E.and S.M.in Electrical Engineering
Minet, Jean. "Imagerie multispectrale, vers une conception adaptée à la détection de cibles." Phd thesis, Université Paris Sud - Paris XI, 2011. http://pastel.archives-ouvertes.fr/pastel-00714207.
Повний текст джерелаКниги з теми "Adaptive snapshots"
Holland, John H. 4. Agents, networks, degree, and recirculation. Oxford University Press, 2014. http://dx.doi.org/10.1093/actrade/9780199662548.003.0004.
Повний текст джерелаClodfelter, Richard. Retail Buying. 7th ed. Bloomsbury Publishing Inc, 2023. http://dx.doi.org/10.5040/9781501375651.
Повний текст джерелаЧастини книг з теми "Adaptive snapshots"
Kastian, Steffen, and Stefanie Reese. "An Adaptive Way of Choosing Significant Snapshots for Proper Orthogonal Decomposition." In IUTAM Symposium on Model Order Reduction of Coupled Systems, Stuttgart, Germany, May 22–25, 2018, 67–79. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21013-7_5.
Повний текст джерелаScherer, Cordula, and Agnese Cretella. "Sustainable Seafood Consumption: A Matter of Individual Choice or Global Market? A Window into Dublin’s Seafood Scene." In Ocean Governance, 233–51. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-20740-2_10.
Повний текст джерела"Direct Data Domain Least Squares Approaches to Adaptive Processing Based on Single Snapshots of Data." In Smart Antennas, 75–102. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471722839.ch4.
Повний текст джерелаCostello, Robert. "Supporting the Needs of the Independent Learner Within Higher Education." In Strategic Collaborative Innovations in Organizational Systems, 140–59. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7390-6.ch007.
Повний текст джерелаZhao, Y. "Ontology Mapping Techniques in Information Integration." In Adaptive Technologies and Business Integration, 308–28. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59904-048-6.ch015.
Повний текст джерелаChristopher, Spencer. "Life-Span Changes in Activities, and Consequent Changes in the Cognition and Assessment of the Environment." In Environment, Cognition, and Action. Oxford University Press, 1992. http://dx.doi.org/10.1093/oso/9780195062205.003.0021.
Повний текст джерелаZappalaglio, Andrea. "Sui generis, bureaucratic and based on origin: a snapshot of the nature of EU Geographical Indications." In Intellectual Property as a Complex Adaptive System, 132–52. Edward Elgar Publishing, 2021. http://dx.doi.org/10.4337/9781800378384.00018.
Повний текст джерела"Direction of Arrival Estimation and Adaptive Processing Using a Nonuniformly Spaced Array from a Single Snapshot." In Smart Antennas, 147–88. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471722839.ch6.
Повний текст джерелаHeltzel, Lisa, and Judith R. Homberg. "Animal models of post-traumatic stress disorder." In Genes, brain, and emotions, 324–42. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198793014.003.0022.
Повний текст джерелаТези доповідей конференцій з теми "Adaptive snapshots"
Geretto, Elia, Cristiano Giuffrida, Herbert Bos, and Erik Van Der Kouwe. "Snappy: Efficient Fuzzing with Adaptive and Mutable Snapshots." In ACSAC: Annual Computer Security Applications Conference. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3564625.3564639.
Повний текст джерелаZaharov, Viktor V., and Marvi Teixeira. "Adaptive Digital Non-Blind Beamformer for Small Number of Snapshots." In 2006 49th IEEE International Midwest Symposium on Circuits and Systems. IEEE, 2006. http://dx.doi.org/10.1109/mwscas.2006.382058.
Повний текст джерелаPan, Yundeng, Paul Liu, and Dong Liu. "Adaptive Multiple Snapshots with Matrix Pencil Method for Color Flow Imaging." In 2009 3rd International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2009). IEEE, 2009. http://dx.doi.org/10.1109/icbbe.2009.5162279.
Повний текст джерелаMueller, C., and J. Lang. "A POD-Galerkin Model for Convection-Diffusion-Reaction Equations with Parametric Data based on Adaptive Snapshots." In XI International Conference on Adaptive Modeling and Simulation. CIMNE, 2023. http://dx.doi.org/10.23967/admos.2023.006.
Повний текст джерелаWeng, Junjie, Jun Liu, and Siyu Sun. "DOA Estimation with Few Snapshots Based on Iterative Adaptive Approach and Eigenvalue Decomposition." In 2022 IEEE 22nd International Conference on Communication Technology (ICCT). IEEE, 2022. http://dx.doi.org/10.1109/icct56141.2022.10073164.
Повний текст джерелаGu, Yujie, and Yimin D. Zhang. "Single-Snapshot Adaptive Beamforming." In 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2018. http://dx.doi.org/10.1109/sam.2018.8448680.
Повний текст джерелаAfek, Yehuda, Gideon Stupp, and Dan Touitou. "Long-lived and adaptive atomic snapshot and immediate snapshot (extended abstract)." In the nineteenth annual ACM symposium. New York, New York, USA: ACM Press, 2000. http://dx.doi.org/10.1145/343477.343521.
Повний текст джерелаBrodie, C. Harrison, and Christopher M. Collier. "Spatial light modulation and optical mixing for snapshot hyperspectral imaging architectures." In Unconventional Imaging and Adaptive Optics 2021, edited by Jean J. Dolne and Mark F. Spencer. SPIE, 2021. http://dx.doi.org/10.1117/12.2594261.
Повний текст джерелаBashari, Benyamin, and Philipp Woelfel. "An Efficient Adaptive Partial Snapshot Implementation." In PODC '21: ACM Symposium on Principles of Distributed Computing. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3465084.3467939.
Повний текст джерелаHassanien, Aboulnasr, and Elias Aboutanios. "Single-Snapshot Beamforming using Fast Iterative Adaptive Techniques." In 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2020. http://dx.doi.org/10.1109/sam48682.2020.9104350.
Повний текст джерелаЗвіти організацій з теми "Adaptive snapshots"
Oxberry, Geoffrey M., Tanya Kostova-Vassilevska, Bill Arrighi, and Kyle Chand. Limited-memory adaptive snapshot selection for proper orthogonal decomposition. Office of Scientific and Technical Information (OSTI), April 2015. http://dx.doi.org/10.2172/1224940.
Повний текст джерела