A Fast Tunable Blurring Algorithm for Scattered Data

DOI10.1137/19M1268781zbMath1452.65036arXiv1906.06722MaRDI QIDQ5132031

Gregor Robinson, Ian Grooms

Publication date: 9 November 2020

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1906.06722

zbMATH Keywords

signal processingdata assimilationparticle filteringmultiresolution algorithms

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Numerical smoothing, curve fitting (65D10) Filtering in stochastic control theory (93E11) Computing methodologies for image processing (68U10) Signal detection and filtering (aspects of stochastic processes) (60G35) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Algorithms for approximation of functions (65D15)

Uses Software

• GMRFLib
• PetRBF
• ASKIT

Cites Work

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• An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
• PetRBF - A parallel \(O(N)\) algorithm for radial basis function interpolation with Gaussians
• Approximation by exponential sums revisited
• The Runge phenomenon and spatially variable shape parameters in RBF interpolation
• A Primer on Radial Basis Functions with Applications to the Geosciences
• Exponential Sum Approximations for t−β
• Gaussian Markov Random Fields
• ASKIT: Approximate Skeletonization Kernel-Independent Treecode in High Dimensions
• The Fast Gauss Transform

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