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BMCBI
2008
77views more  BMCBI 2008»
14 years 10 months ago
Stochastic models for the in silico simulation of synaptic processes
Background: Research in life sciences is benefiting from a large availability of formal description techniques and analysis methodologies. These allow both the phenomena investiga...
Andrea Bracciali, Marcello Brunelli, Enrico Catald...
ICASSP
2009
IEEE
15 years 4 months ago
MIMO decoding based on stochastic reconstruction from multiple projections
Least squares (LS) fitting is one of the most fundamental techniques in science and engineering. It is used to estimate parameters from multiple noisy observations. In many probl...
Amir Leshem, Jacob Goldberger
ASPDAC
2009
ACM
143views Hardware» more  ASPDAC 2009»
15 years 4 months ago
Statistical modeling and analysis of chip-level leakage power by spectral stochastic method
In this paper, we present a novel statistical full-chip leakage power analysis method. The new method can provide a general framework to derive the full-chip leakage current or po...
Ruijing Shen, Ning Mi, Sheldon X.-D. Tan, Yici Cai...
CDC
2008
IEEE
140views Control Systems» more  CDC 2008»
15 years 4 months ago
Model discrimination of polynomial systems via stochastic inputs
— Systems biologists are often faced with competing models for a given experimental system. Unfortunately, performing experiments can be time-consuming and expensive. Therefore, ...
Daniel Georgiev, Eric Klavins
ICASSP
2008
IEEE
15 years 4 months ago
On nonlinear transformations of stochastic variables and its application to nonlinear filtering
A class of nonlinear transformation-based filters (NLTF) for state estimation is proposed. The nonlinear transformations that can be used include first (TT1) and second (TT2) or...
Fredrik Gustafsson, Gustaf Hendeby