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ICASSP
2011
IEEE
12 years 11 months ago
A metric approach toward point process divergence
Estimating divergence between two point processes, i.e. probability laws on the space of spike trains, is an essential tool in many computational neuroscience applications, such a...
Sohan Seth, Austin J. Brockmeier, José Carl...
ISSRE
2010
IEEE
13 years 5 months ago
A Large-Scale Industrial Case Study on Architecture-Based Software Reliability Analysis
—Architecture-based software reliability analysis methods shall help software architects to identify critical software components and to quantify their influence on the system r...
Heiko Koziolek, Bastian Schlich, Carlos G. Bilich
TSP
2010
13 years 2 months ago
Energy efficient state estimation with wireless sensors through the use of predictive power control and coding
We study state estimation via wireless sensors over fading channels. Packet loss probabilities depend upon time-varying channel gains, packet lengths and transmission power levels ...
Daniel E. Quevedo, Anders Ahlén, Jan &Oslas...
JUCS
2006
88views more  JUCS 2006»
13 years 7 months ago
Parameter Estimation of the Cauchy Distribution in Information Theory Approach
: As we know the Cauchy distribution plays an important role in Probability Theory and Statistics. In this paper, we investigate the estimation of the location and the scale parame...
Ferenc Nagy
ICASSP
2009
IEEE
14 years 2 months ago
Law recognition via histogram-based estimation
In this paper, we study the problem of recognizing an unknown probability density function from one of its sample which is of interest in signal and image processing or telecommun...
Guilhem Coq, X. Li, Olivier Alata, Y. Pousset, Chr...