Toward efficient spatial variation decomposition via sparse regression
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In this paper, we propose a new technique to accurately decompose process variation into two different components: (1) spatially correlated variation, ...
Our experimental results based on silicon measurement data demonstrate that the proposed sparse regression technique can capture spatially correlated variation ...
Based upon this observation, an efficient algorithm is developed to accurately separate spatially correlated variation from uncorrelated random variation.
The proposed sparse regression technique can capture spatially correlated variation patterns with high accuracy and the estimation error is reduced by more ...
In this paper, we briefly discuss the recent development of a novel sparse regression technique that aims to accurately decompose process variation into two ...
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In this paper, we propose a new technique to achieve accurate decomposition of process variation by efficiently performing spatial pattern analysis.
Missing: Toward | Show results with:Toward
In this paper, we briefly discuss the recent development of a novel sparse regression technique that aims to accurately decompose process variation into two ...
Dec 22, 2014 · In this paper, we briefly discuss the recent development of a novel sparse regression technique that aims to accurately decompose process ...
Missing: Toward | Show results with:Toward
Abstract—In this paper, we propose a new technique to achieve accurate decomposition of process variation by efficiently performing spatial pattern analysis ...
Mar 22, 2024 · Bibliographic details on Efficient Spatial Pattern Analysis for Variation Decomposition Via Robust Sparse Regression.
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