Information Fusion using the Kalman Filter based on Karhunen-Loève Decomposition
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Publication:3449347
DOI10.1007/978-3-540-75384-1_3zbMath1323.76111OpenAlexW1504613582MaRDI QIDQ3449347
Yan Chen, Dongxiao Zhang, Zhi-Ming Lu
Publication date: 4 November 2015
Published in: Quantitative Information Fusion for Hydrological Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-540-75384-1_3
Hydrology, hydrography, oceanography (86A05) Flows in porous media; filtration; seepage (76S05) Stochastic analysis applied to problems in fluid mechanics (76M35)
Uses Software
Cites Work
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- An efficient, high-order perturbation approach for flow in random porous media via Karhunen-Loève and polynomial expansions.
- A Comparative Study on Uncertainty Quantification for Flow in Randomly Heterogeneous Media Using Monte Carlo Simulations and Conventional and KL-Based Moment-Equation Approaches
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