IEICE TRANSACTIONS on Fundamentals
A Hierarchical Statistical Optimization Method Driven by Constraint Generation Based on Mahalanobis' Distance
Summary :
This paper presents a method of statistical system optimization. The method uses a constraint generation, which is a design methodology based on a hierarchical top-down design, to give specifications to sub-circuits of the system. The specifications are generated not only to reduce the costs of sub-circuits but also to take adequate margin to achieve enough yield of the system. In order to create an appropriate amount of margin, a term which expresses a statistical figure based on Mahalanobis' distance is added to the constraint generation problem. The method is applied to a PLL, and it is confirmed that the yield of the lock-up time reaches 100% after the optimization.
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- IEICE TRANSACTIONS on Fundamentals Vol.E84-A No.3 pp.727-734
- Publication Date
- 2001/03/01
- Publicized
- Online ISSN
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- Type of Manuscript
- Special Section PAPER (Special Section of Selected Papers from the 13th Workshop on Circuits and Systems in Karuizawa)
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Tomohiro FUJITA, Hidetoshi ONODERA, "A Hierarchical Statistical Optimization Method Driven by Constraint Generation Based on Mahalanobis' Distance" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 3, pp. 727-734, March 2001, doi: .
Abstract: This paper presents a method of statistical system optimization. The method uses a constraint generation, which is a design methodology based on a hierarchical top-down design, to give specifications to sub-circuits of the system. The specifications are generated not only to reduce the costs of sub-circuits but also to take adequate margin to achieve enough yield of the system. In order to create an appropriate amount of margin, a term which expresses a statistical figure based on Mahalanobis' distance is added to the constraint generation problem. The method is applied to a PLL, and it is confirmed that the yield of the lock-up time reaches 100% after the optimization.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_3_727/_p
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@ARTICLE{e84-a_3_727,
author={Tomohiro FUJITA, Hidetoshi ONODERA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Hierarchical Statistical Optimization Method Driven by Constraint Generation Based on Mahalanobis' Distance},
year={2001},
volume={E84-A},
number={3},
pages={727-734},
abstract={This paper presents a method of statistical system optimization. The method uses a constraint generation, which is a design methodology based on a hierarchical top-down design, to give specifications to sub-circuits of the system. The specifications are generated not only to reduce the costs of sub-circuits but also to take adequate margin to achieve enough yield of the system. In order to create an appropriate amount of margin, a term which expresses a statistical figure based on Mahalanobis' distance is added to the constraint generation problem. The method is applied to a PLL, and it is confirmed that the yield of the lock-up time reaches 100% after the optimization.},
keywords={},
doi={},
ISSN={},
month={March},}
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TY - JOUR
TI - A Hierarchical Statistical Optimization Method Driven by Constraint Generation Based on Mahalanobis' Distance
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 727
EP - 734
AU - Tomohiro FUJITA
AU - Hidetoshi ONODERA
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2001
AB - This paper presents a method of statistical system optimization. The method uses a constraint generation, which is a design methodology based on a hierarchical top-down design, to give specifications to sub-circuits of the system. The specifications are generated not only to reduce the costs of sub-circuits but also to take adequate margin to achieve enough yield of the system. In order to create an appropriate amount of margin, a term which expresses a statistical figure based on Mahalanobis' distance is added to the constraint generation problem. The method is applied to a PLL, and it is confirmed that the yield of the lock-up time reaches 100% after the optimization.
ER -
English
