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» Distributing the Kalman Filter for Large-Scale Systems
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ISIPTA
2003
IEEE
145views Mathematics» more  ISIPTA 2003»
13 years 10 months ago
An Extended Set-valued Kalman Filter
Set-valued estimation offers a way to account for imprecise knowledge of the prior distribution of a Bayesian statistical inference problem. The set-valued Kalman filter, which p...
Darryl Morrell, Wynn C. Stirling
CJ
2002
67views more  CJ 2002»
13 years 5 months ago
Using Bloom Filters to Speed-up Name Lookup in Distributed Systems
Bloom filters make use of a "probabilistic" hash-coding method to reduce the amount of space required to store a hash set. A Bloom filter offers a trade-off between its ...
Mark C. Little, Santosh K. Shrivastava, Neil A. Sp...
CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
13 years 10 months ago
The Kalman like particle filter: Optimal estimation with quantized innovations/measurements
— We study the problem of optimal estimation using quantized innovations, with application to distributed estimation over sensor networks. We show that the state probability dens...
Ravi Teja Sukhavasi, Babak Hassibi
DIS
2006
Springer
13 years 7 months ago
Change Detection with Kalman Filter and CUSUM
Knowledge discovery systems are constrained by three main limited resources: time, memory and sample size. Sample size is traditionally the dominant limitation, but in many present...
Milton Severo, João Gama
PERCOM
2003
ACM
14 years 4 months ago
Evaluation of Kalman Filtering for Network Time Keeping
Time information is critical for a variety of applications in distributed environments that facilitate pervasive computing and communication. This work describes and evaluates a no...
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