Search Results - "Quang, Paul Bui"

Particle filtering and the laplace method for target tracking by Quang, Paul Bui, Musso, Christian, Le Gland, Francois

“…The deterministic Laplace method is combined with particle filtering for the state estimation in nonlinear state-space models. Multidimensional Laplace…”
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Detection and classification of seismic events with progressive multi-channel correlation and hidden Markov models by Bui Quang, Paul, Gaillard, Pierre, Cano, Yoann, Ulzibat, Munkhuu

“…The progressive multi-channel correlation (PMCC) detector and a statistical time series classifier based on hidden Markov models (HMMs) are associated in order…”
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A Laplace-based particle filter for track-before-detect by Musso, Christian, Bui Quang, Paul, Murangira, Achille

“…Track-before-detect (TBD) is an efficient approach for tracking a target with low signal-to-noise-ratio. Unlike classical detection methods, TBD does not…”
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Association of array processing and statistical modelling for seismic event monitoring by Quang, Paul Bui, Gaillard, Pierre, Cano, Yoann

“…We associate an array processing method, called progressive multi-channel correlation (PMCC), and statistical modelling, to detect and classify seismic events…”
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The Kalman Laplace filter: A new deterministic algorithm for nonlinear Bayesian filtering by Bui Quang, Paul, Musso, Christian, Le Gland, Francois

“…We propose a new recursive algorithm for nonlinear Bayesian filtering, where the prediction step is performed like in the extended Kalman filter, and the…”
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An insight into the issue of dimensionality in particle filtering by Bui Quang, P., Musso, C., Le Gland, F.

“…Particle filtering is a widely used Monte Carlo method to approximate the posterior density in non-linear filtering. Unlike the Kalman filter, the particle…”
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Multidimensional Laplace formulas for nonlinear Bayesian estimation by Bui Quang, P., Musso, C., Le Gland, F.

“…The Laplace method and Monte Carlo methods are techniques to approximate integrals which are useful in nonlinear Bayesian computation. When the model is…”
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Robustness analysis of a Moving Horizon Estimator for space debris tracking during atmospheric reentry by Suwantong, Rata, Bui Quang, P., Beauvois, Dominique, Dumur, Didier, Bertrand, Sylvain

“…Trajectory estimation during atmospheric reentry of ballistic objects such as space debris is a very complex problem due to high variations of their ballistic…”
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Introducing the Laplace approximation in particle filtering by Musso, C., Bui Quang, P., Le Gland, F.

“…The situations where particle filtering fails (so-called weight degeneracy) can be detected with the asymptotic variance of the particle approximation…”
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