A workshop in nonlinear sequential estimation and processing, bringing together classical, modern unscented and particle filtering methods as well as newly emerging techniques; topics include filtering, smoothing and the sequential treatment of batch problems. Theory, computational methods and applications are welcome. The workshop will be held in the beautiful and historic surroundings of Corpus Christi College, Cambridge, UK. <b>Keywords:</b> Classical, unscented, particle and emerging techniques for: filtering, smoothing, large–scale problems, batch problems, parameter estimation, model selection, detection.<br>Applications including (but not limited to): Tracking (sonar, radar, etc.), Communications, Audio, Speech and Music, Acoustics (underwater acoustics, ultrasonics, NDE, etc.), Spectroscopy, Computational Biology/Genomics, Robotics/Computer Vision, Deconvolution, Imaging and Pattern recognition, Finance, Physics–based applications, Automatic Control, Sensor Networks.<br>Methodology/Theory: Monte Carlo methods (particle filters, sequential importance sampling, quasi–Monte Carlo, Markov Chain Monte Carlo, ...), nonlinear Kalman filters (grid–based, unscented, Gaussian sum, ...), mixture Kalman filters, continuous/ discrete–time systems, convergence theory, complexity analysis, distributed/decentralized/parallel processing, hardware and implementational issues.<br>
Abbrevation
NSSPW
City
Cambridge, MA
Country
UK
Deadline Paper
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