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DAC
2012
ACM
11 years 11 months ago
Statistical design and optimization for adaptive post-silicon tuning of MEMS filters
Large-scale process variations can significantly limit the practical utility of microelectro-mechanical systems (MEMS) for RF (radio frequency) applications. In this paper we desc...
Fa Wang, Gokce Keskin, Andrew Phelps, Jonathan Rot...
DAC
2006
ACM
14 years 10 months ago
Statistical timing based on incomplete probabilistic descriptions of parameter uncertainty
Existing approaches to timing analysis under uncertainty are based on restrictive assumptions. Statistical STA techniques assume that the full probabilistic distribution of parame...
Wei-Shen Wang, Vladik Kreinovich, Michael Orshansk...
ICCAD
2005
IEEE
87views Hardware» more  ICCAD 2005»
14 years 5 months ago
Statistical technology mapping for parametric yield
The increasing variability of process parameters leads to substantial parametric yield losses due to timing and leakage power constraints. Leakage power is especially affected by ...
Ashish Kumar Singh, Murari Mani, Michael Orshansky
ETVC
2008
13 years 10 months ago
Statistical Computing on Manifolds: From Riemannian Geometry to Computational Anatomy
Computational anatomy is an emerging discipline that aims at analyzing and modeling the individual anatomy of organs and their biological variability across a population. The goal ...
Xavier Pennec
ICIAP
2003
ACM
14 years 2 months ago
Detection and recognition of moving objects using statistical motion detection and Fourier descriptors
Object recognition, i. e. classification of objects into one of several known object classes, generally is a difficult task. In this paper we address the problem of detecting an...
Daniel Toth, Til Aach