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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2009 International Conference on Field-Programmable Technology S. 175 - 182
Hauptverfasser:	Happe, Markus, Lubbers, Enno, Platzner, Marco
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.12.2009
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!