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» A Novel Monte Carlo Noise Reduction Operator
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ICML
2007
IEEE
14 years 8 months ago
Most likely heteroscedastic Gaussian process regression
This paper presents a novel Gaussian process (GP) approach to regression with inputdependent noise rates. We follow Goldberg et al.'s approach and model the noise variance us...
Kristian Kersting, Christian Plagemann, Patrick Pf...
ISCAS
2007
IEEE
110views Hardware» more  ISCAS 2007»
14 years 1 months ago
A Novel Active Decoupling Capacitor Design in 90nm CMOS
—On-chip decoupling capacitors (decaps) are generally used to reduce power supply noise. Passive decap designs are reaching their limits in 90nm CMOS technology due to higher ope...
Xiongfei Meng, Karim Arabi, Resve Saleh
ICASSP
2011
IEEE
12 years 10 months ago
Blind phase recovery in QAM communication systems using characteristic function
In this paper, we present a novel non-data aided method for phase recovery in both square and cross quadrature amplitude modulation (QAM) communication systems, based on character...
Ehsan Hassani Sadi, Hamidreza Amindavar
ASPDAC
2010
ACM
211views Hardware» more  ASPDAC 2010»
13 years 5 months ago
A fast analog mismatch analysis by an incremental and stochastic trajectory piecewise linear macromodel
To cope with an increasing complexity when analyzing analog mismatch in sub-90nm designs, this paper presents a fast non-MonteCarlo method to calculate mismatch in time domain. Th...
Hao Yu, Xuexin Liu, Hai Wang, Sheldon X.-D. Tan
ISBI
2008
IEEE
14 years 7 months ago
Application of a spatially variant system model for 3-D whole-body pet image reconstruction
Accurate system modeling in tomographic image reconstruction has been shown to reduce the spatial variance of resolution and improve quantitative accuracy. System modeling can be ...
Adam M. Alessio, Paul E. Kinahan