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QEST
2010
IEEE
13 years 7 months ago
Transient Analysis of Generalised Semi-Markov Processes Using Transient Stochastic State Classes
The method of stochastic state classes approaches the analysis of Generalised Semi Markov Processes (GSMP) through symbolic derivation of probability density functions over Differe...
András Horváth, Lorenzo Ridi, Enrico...
DATE
2005
IEEE
115views Hardware» more  DATE 2005»
14 years 3 months ago
Stochastic Power Grid Analysis Considering Process Variations
In this paper, we investigate the impact of interconnect and device process variations on voltage fluctuations in power grids. We consider random variations in the power grid’s...
Praveen Ghanta, Sarma B. K. Vrudhula, Rajendran Pa...
DAC
2009
ACM
14 years 4 months ago
PiCAP: a parallel and incremental capacitance extraction considering stochastic process variation
It is unknown how to include stochastic process variation into fast-multipole-method (FMM) for a full chip capacitance extraction. This paper presents a parallel FMM extraction us...
Fang Gong, Hao Yu, Lei He
CSDA
2006
85views more  CSDA 2006»
13 years 9 months ago
Detecting change-points in multidimensional stochastic processes
A general test statistic for detecting change-points in multidimensional stochastic processes with unknown parameters is proposed. The test statistic is specialized to the case of...
Jan G. De Gooijer
TIT
1998
77views more  TIT 1998»
13 years 9 months ago
Detection of Stochastic Processes
— This paper reviews two streams of development, from the 1940’s to the present, in signal detection theory: the structure of the likelihood ratio for detecting signals in nois...
Thomas Kailath, H. Vincent Poor