Propagation of variance using a new approximation in system design of integrated circuits
被引:3
作者:
Lei, JZ
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机构:
Texas A&M Univ, Dept Elect Engn, College Stn, TX 77843 USATexas A&M Univ, Dept Elect Engn, College Stn, TX 77843 USA
Lei, JZ
[1
]
Lima, P
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机构:
Texas A&M Univ, Dept Elect Engn, College Stn, TX 77843 USATexas A&M Univ, Dept Elect Engn, College Stn, TX 77843 USA
Lima, P
[1
]
Styblinski, MA
论文数: 0引用数: 0
h-index: 0
机构:
Texas A&M Univ, Dept Elect Engn, College Stn, TX 77843 USATexas A&M Univ, Dept Elect Engn, College Stn, TX 77843 USA
Styblinski, MA
[1
]
Singh, C
论文数: 0引用数: 0
h-index: 0
机构:
Texas A&M Univ, Dept Elect Engn, College Stn, TX 77843 USATexas A&M Univ, Dept Elect Engn, College Stn, TX 77843 USA
Singh, C
[1
]
机构:
[1] Texas A&M Univ, Dept Elect Engn, College Stn, TX 77843 USA
来源:
PROCEEDINGS OF THE IEEE 1998 NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE
|
1998年
关键词:
D O I:
10.1109/NAECON.1998.710123
中图分类号:
V [航空、航天];
学科分类号:
08 ;
0825 ;
摘要:
In this paper we are concerned with Design For Quality (DFQ), which has recently attracted much attention in system design. Our aim is to introduce effective methods for estimating the variability of a system's performance. The linear approximation method is perhaps the most often used method for predicting variance propagation in a system. In this paper, we exploit the Moment Method in Statistical analysis to extend the linear approximation to quadratic approximation, which will be referred to as Quadratic Propagation of Variance (QPOV). The derivation of the new method is provided and some results of its application in a real circuit are given. Our examples indicate that the new method QPOV gives much more accurate estimates for performance variability. Also this method can be used in other CAD fields.