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» Evaluating Statistical Power Optimization
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DAC
1999
ACM
14 years 10 months ago
A Practical Gate Resizing Technique Considering Glitch Reduction for Low Power Design
We propose a method for power optimization that considers glitch reduction by gate sizing based on the statistical estimation of glitch transitions. Our method reduces not only th...
Masanori Hashimoto, Hidetoshi Onodera, Keikichi Ta...
BMCBI
2006
137views more  BMCBI 2006»
13 years 9 months ago
A maximum likelihood framework for protein design
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
Claudia L. Kleinman, Nicolas Rodrigue, Céci...
ECCV
2008
Springer
14 years 11 months ago
Sparse Long-Range Random Field and Its Application to Image Denoising
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...
Yunpeng Li, Daniel P. Huttenlocher
ICC
2009
IEEE
180views Communications» more  ICC 2009»
14 years 4 months ago
Composite Hypothesis Testing for Cooperative Spectrum Sensing in Cognitive Radio
—In this paper, we present a composite hypothesis testing approach for cooperative spectrum sensing. We derive the optimal likelihood ratio test (LRT) statistic based on the Neym...
Sepideh Zarrin, Teng Joon Lim
ICANN
2010
Springer
13 years 9 months ago
Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization
Independent Component Analysis (ICA) is a statistical computation method that transforms a random vector in another one whose components are independent. Because the marginal distr...
Jorge Igual, Jehad I. Ababneh, Raul Llinares, Juli...