Results 31 to 40 of about 231,778 (314)
Multi-scale freeform surface texture filtering using a mesh relaxation scheme [PDF]
, 2013 Surface filtering algorithms using Fourier, Gaussian, wavelets, etc, are well-established for simple Euclidean geometries. However, these filtration techniques cannot be applied to today's complex freeform surfaces, which have non-Euclidean geometries ...
Jiang, Xiangqian +5 more
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Adaptive filter with Riemannian manifold constraint
Scientific Reports, 2023 The adaptive filtering theory has been extensively developed, and most of the proposed algorithms work under the assumption of Euclidean space. However, in many applications, the data to be processed comes from a non-linear manifold.
Jose Mejia +3 more
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Forecasting Nonlinear Systems with LSTM: Analysis and Comparison with EKF
Sensors, 2021 Certain difficulties in path forecasting and filtering problems are based in the initial hypothesis of estimation and filtering techniques. Common hypotheses include that the system can be modeled as linear, Markovian, Gaussian, or all at one time ...
Juan Pedro Llerena Caña +2 more
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Temporal Non-Local Means Filtering Reveals Real-Time Whole-Brain Cortical Interactions in Resting fMRI. [PDF]
PLoS ONE, 2016 Intensity variations over time in resting BOLD fMRI exhibit spatial correlation patterns consistent with a set of large scale cortical networks. However, visualizations of this data on the brain surface, even after extensive preprocessing, are dominated ...
Chitresh Bhushan +6 more
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Modelling the effects of air pollution on health using Bayesian dynamic generalised linear models [PDF]
, 2008 The relationship between short-term exposure to air pollution and mortality or morbidity has been the subject of much recent research, in which the standard method of analysis uses Poisson linear or additive models.
Shaddick, G +3 more
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Localizing the Ensemble Kalman Particle Filter
Tellus: Series A, Dynamic Meteorology and Oceanography, 2017 Ensemble methods such as the Ensemble Kalman Filter (EnKF) are widely used for data assimilation in large-scale geophysical applications, as for example in numerical weather prediction.
Sylvain Robert, Hans R. Künsch
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The optimization of a class of non-linear filters
Proceedings of the IEE Part C: Monographs, 1960 Some time invariant non-linear filters of Zadeh's class ? are optimized. A method is proposed for the physical realization of these filters as multipath structures, which consist of, in general, an orthonormal set of non-linear zero memory polynomial functions, each of which is followed by a linear memory network in cascade.
openaire +3 more sources
Smoothing Hazard Functions and Time-Varying Effects in Discrete Duration and Competing Risks Models [PDF]
, 1995 State space or dynamic approaches to discrete or grouped duration data with competing risks or multiple terminating events allow simultaneous modelling and smooth estimation of hazard functions and time-varying effects in a flexible way. Full Bayesian or
Stefan Wagenpfeil +3 more
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Non-linear and signal energy optimal asymptotic filter design [PDF]
Journal of Systemics, Cybernetics and Informatics, 2003 The paper studies some connections between the main results of the well known Wiener-Kalman-Bucy stochastic approach to filtering problems based mainly on the linear stochastic estimation theory and emphasizing the optimality aspects of the achieved ...
Josef Hrusak, Vaclav Cerny
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Ultrasonic Detection of Erosion on Pipe Elbow based on FrFT Filtering
Shiyou jixie, 2022 As a low cost and high-efficiency nondestructive testing technology, ultrasonic non-axisymmetric exciting guided wave can detect the thinned section of pipe elbow.
Li Ning +4 more
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