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VIM-Based Dynamic Sparse Grid Approach to Partial Differential Equations [PDF]
The Scientific World Journal, 2014 Combining the variational iteration method (VIM) with the sparse grid theory, a dynamic sparse grid approach for nonlinear PDEs is proposed in this paper. In this method, a multilevel interpolation operator is constructed based on the sparse grids theory
Shu-Li Mei
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HPM-Based Dynamic Sparse Grid Approach for Perona-Malik Equation [PDF]
The Scientific World Journal, 2014 The Perona-Malik equation is a famous image edge-preserved denoising model, which is represented as a nonlinear 2-dimension partial differential equation.
Shu-Li Mei, De-Hai Zhu
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Frontiers in Materials, 2022 Uncertainty quantification (UQ) plays a major role in verification and validation for computational engineering models and simulations, and establishes trust in the predictive capability of computational models.
Anh Tran , Tim Wildey , Hojun Lim
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Sensors, 2023 In the environment of unknown mutual coupling, many works on direction-of-arrival (DOA) estimation with sensor array are prone to performance degradation or even failure. Moreover, there are few literatures on off-grid direction finding using regularized
Liangliang Li +4 more
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Off-Grid DOA Estimation Using Sparse Bayesian Learning for MIMO Radar under Impulsive Noise
Sensors, 2022 Direction of arrival (DOA) estimation is an essential and fundamental part of array signal processing, which has been widely used in radio monitoring, autonomous driving of vehicles, intelligent navigation, etc.
Jitong Ma +3 more
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3D Off-Grid Localization for Adjacent Cavitation Noise Sources Using Bayesian Inference
Sensors, 2023 The propeller tip vortex cavitation (TVC) localization problem involves the separation of noise sources in proximity. This work describes a sparse localization method for off-grid cavitations to estimates their precise locations while keeping reasonable ...
Minseuk Park +3 more
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A Robust Multi Sample Compressive Sensing Technique for DOA Estimation Using Sparse Antenna Array
IEEE Access, 2020 In this paper, a multi sample compressive sensing (CS) technique is presented for the direction of arrival (DOA) estimation using sparse antenna array that has applications in several fields including radars and sonars.
Hamid Ali Mirza +4 more
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IEEE Access, 2019 Due to the increasing uncertainty brought about by renewable energy, conventional deterministic dispatch approaches have not been very applicative. This paper investigates a nested sparse grid-based stochastic collocation method (NS-SCM) as a possible ...
Zhilin Lu +3 more
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A combined BP‐MF algorithm for wideband off‐grid DOA estimation with DP prior
Electronics Letters, 2022 Direction‐of‐arrival (DOA) estimation based on sparse Bayesian learning (SBL) framework has attracted extensive attention. The accuracy of on‐grid DOA estimation is restricted by the prescribed grid, while off‐grid approaches resolves the problem of grid
Mengge Li +3 more
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Tellus: Series A, Dynamic Meteorology and Oceanography, 2019 A common way to introduce physical processes into numerical models of the atmosphere is to call the parameterization at every grid point. This can lead to considerable errors.
J. Steppeler, J. Li, F. Fang, J. Zhu
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