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» Monte Carlo Methods for Process Algebra
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DAC
1996
ACM
13 years 11 months ago
Computing Parametric Yield Adaptively Using Local Linear Models
Abstract A divide-and-conquer algorithm for computing the parametric yield of large analog circuits is presented. The algorithm targets applications whose performance spreads could...
Mien Li, Linda S. Milor
ICASSP
2010
IEEE
13 years 7 months ago
A robust minimum volume enclosing simplex algorithm for hyperspectral unmixing
Hyperspectral unmixing is a process of extracting hidden spectral signatures (or endmembers) and the corresponding proportions (or abundances) of a scene, from its hyperspectral o...
Arul-Murugan Ambikapathi, Tsung-Han Chan, Wing-Kin...
ICCAD
2008
IEEE
153views Hardware» more  ICCAD 2008»
14 years 4 months ago
Breaking the simulation barrier: SRAM evaluation through norm minimization
— With process variation becoming a growing concern in deep submicron technologies, the ability to efficiently obtain an accurate estimate of failure probability of SRAM compone...
Lara Dolecek, Masood Qazi, Devavrat Shah, Anantha ...
ICIP
2003
IEEE
14 years 9 months ago
Robust tracking of cyclic nonrigid motion
Cyclic motion underlies several human activities including exercising,running, and walking. Accurate tracking of such motion in video data helps in developing computer-aided appli...
Cheng Chang, Rashid Ansari, Ashfaq A. Khokhar
ICCAD
2004
IEEE
145views Hardware» more  ICCAD 2004»
14 years 4 months ago
Asymptotic probability extraction for non-normal distributions of circuit performance
While process variations are becoming more significant with each new IC technology generation, they are often modeled via linear regression models so that the resulting performanc...
Xin Li, Jiayong Le, Padmini Gopalakrishnan, Lawren...