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COMPLEXITY
2006
144views more  COMPLEXITY 2006»
13 years 7 months ago
BML revisited: Statistical physics, computer simulation, and probability
Statistical physics, computer simulation and discrete mathematics are intimately related through the study of shared lattice models. These models lie at the foundation of all thre...
Raissa M. D'Souza
CDC
2010
IEEE
120views Control Systems» more  CDC 2010»
13 years 2 months ago
Statistical properties of the error covariance in a Kalman filter with random measurement losses
In this paper we study statistical properties of the error covariance matrix of a Kalman filter, when it is subject to random measurement losses. We introduce a sequence of tighter...
Eduardo Rohr, Damián Marelli, Minyue Fu
EDBT
2009
ACM
207views Database» more  EDBT 2009»
13 years 10 months ago
Evaluating probability threshold k-nearest-neighbor queries over uncertain data
In emerging applications such as location-based services, sensor monitoring and biological management systems, the values of the database items are naturally imprecise. For these ...
Reynold Cheng, Lei Chen 0002, Jinchuan Chen, Xike ...
CORR
2008
Springer
58views Education» more  CORR 2008»
13 years 7 months ago
Tight Bounds on Minimum Maximum Pointwise Redundancy
This paper presents new lower and upper bounds for the optimal compression of binary prefix codes in terms of the most probable input symbol, where compression efficiency is determ...
Michael Baer
CORR
2006
Springer
89views Education» more  CORR 2006»
13 years 7 months ago
Design of Rate-Compatible Serially Concatenated Convolutional Codes
Recently a powerful class of rate-compatible serially concatenated convolutional codes (SCCCs) have been proposed based on minimizing analytical upper bounds on the error probabil...
Alexandre Graell i Amat, Fredrik Brannstrom, Lars ...