WELCOME TO NSSPW 2006 |
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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. |
Technical Programme Schedule (last updated 10/03/2006)
We have a preliminary time schedule for our technical programme. We have
1 plenary address + 2 invited speakers' talks + 3 special sessions from 9:00-18:00 everyday.
On day 1 (Sept. 13) we also have a poster session after the dinner.
For more details and instructions, please click here.
Registration at the venue
Registration starts on Tuesday (12.09.06) from 16:00 to 18:00 at Corpus Christi College. Please sign in at the Porter's Lodge, Corpus Christi College. There you will be able to pick up your room key, badge and conference materials. The Porter's Lodge is the College reception area, just inside the main entrance on the right. Welcome reception will start at 18:00 ?19:30 at New Combination Room. Registration on Wednesday (13.09.06) and Thursday (14.09.06) morning will also take place there.
PLENARY SPEAKERS:
R. E. Kalman (ETH/U. Florida - Keynote), N. Gordon (DSTO Australia), J. S. Liu (Harvard)
WORKSHOP TOPICS:
Classical, unscented, particle and emerging techniques for: filtering, smoothing, large-scale problems, batch problems,
parameter estimation, model selection, detection.
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.
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.
IMPORTANT DATES:
Submission of Abstracts for review: CLOSED
Notification of Acceptance: SENT
Camera Ready Papers: CLOSED