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» Filtering, FDR and power
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UAI
2000
13 years 9 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
ICCD
2005
IEEE
116views Hardware» more  ICCD 2005»
14 years 4 months ago
Enhanced Dual-Transition Probabilistic Power Estimation with Selective Supergate Analysis
Consideration of pairs of transition in probabilistic simulation allows power estimation for digital circuits in which inertial delays can filter glitches [5]. However, the merit ...
Fei Hu, Vishwani D. Agrawal
DATE
2006
IEEE
142views Hardware» more  DATE 2006»
14 years 1 months ago
Mixed-signal design of a digital input power amplifier for automotive audio applications
With reference to digital input power amplifier for automotive audio applications, the paper presents an exhaustive exploration of the huge mixed-signal space to find optimal trad...
Sergio Saponara, Pierangelo Terreni
DATE
2008
IEEE
104views Hardware» more  DATE 2008»
14 years 2 months ago
A Novel Approach for EMI Design of Power Electronics
The placement of passive components significantly influences the EMI behavior of power electronic systems. Particularly filter components are affected by magnetic field coupling r...
Bernd Stube, Bernd Schröder, Eckart Hoene, An...
FPL
2009
Springer
78views Hardware» more  FPL 2009»
14 years 5 days ago
FPGA-accelerated Information Retrieval: High-efficiency document filtering
Power consumption in data centres is a growing issue as the cost of the power for computation and cooling has become dominant. An emerging challenge is the development of “envir...
Wim Vanderbauwhede, Leif Azzopardi, Mahmoud Moadel...