Results 1 to 10 of about 84,618 (266)
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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Kernel Interpolation with Sparse Grids
Advances in Neural Information Processing Systems 35, 2022 Structured kernel interpolation (SKI) accelerates Gaussian process (GP) inference by interpolating the kernel covariance function using a dense grid of inducing points, whose corresponding kernel matrix is highly structured and thus amenable to fast linear algebra.
Mohit Yadav +2 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 Multigrid Method for Adaptive Sparse Grids [PDF]
SIAM Journal on Scientific Computing, 2015 Summary: Sparse grids have become an important tool to reduce the number of degrees of freedom of discretizations of moderately high-dimensional partial differential equations; however, the reduction in degrees of freedom comes at the cost of an almost dense and unconventionally structured system of linear equations.
Peherstorfer, Benjamin +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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