The Augmented Gaussian Sum Filter unifies Gaussian sum filters and particle filters via an augmented Gaussian approximation with tunable covariances that interpolates continuously between the two behaviors.
New results in linear filtering and prediction theory
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
A hybrid estimation framework combines simplified reference dynamics with a data-driven surrogate sensor model to reconstruct system states from incomplete measurements.
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A Gaussian Sum Filter for Unifying Gaussian and Particle Filters
The Augmented Gaussian Sum Filter unifies Gaussian sum filters and particle filters via an augmented Gaussian approximation with tunable covariances that interpolates continuously between the two behaviors.
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State Forecasting in an Estimation Framework with Surrogate Sensor Modeling
A hybrid estimation framework combines simplified reference dynamics with a data-driven surrogate sensor model to reconstruct system states from incomplete measurements.