An adaptive Sequential Monte Carlo framework with runtime HW/SW repartitioning

The considerable computational complexity of sequential Monte Carlo (SMC) methods is a major obstacle when implementing them on CPU-based resource constrained embedded systems. Hybrid CPU/FPGA systems, on the other hand, are a more suitable target, as they can efficiently execute both the control-ce...

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Bibliographic Details

Published in:	2009 International Conference on Field-Programmable Technology pp. 175 - 182
Main Authors:	Happe, Markus, Lubbers, Enno, Platzner, Marco
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2009
Subjects:	Computational complexity Field programmable gate arrays Hardware Monte Carlo methods Operating systems Particle filters Particle tracking Runtime Sliding mode control State estimation
ISBN:	9781424443758, 142444375X
Online Access:	Get full text
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