2014-01-01
Fast variability analysis of general nonlinear circuits using decoupled polynomial chaos
Publication
Publication
Presented at the
18th IEEE Workshop on Signal and Power Integrity, SPI 2014 (May 2014)
This paper presents a new approach aimed at limiting the growth of the computational cost of variability analysis, of nonlinear circuits, using the Hermite-based Polynomial Chaos (PC), with the increase in the number of random variables. The proposed technique is based on deriving a closed-form formula for the structure of the augmented Jacobian matrix generated by the PC approach, and then shows that this structure can be approximated with a different structure that can be decoupled into independent diagonal blocks.
| Additional Metadata | |
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| Persistent URL | dx.doi.org/10.1109/SaPIW.2014.6844543 |
| Conference | 18th IEEE Workshop on Signal and Power Integrity, SPI 2014 |
| Citation |
Rufuie, M.R. (Mehrdad Rahimzadeh), Gad, E. (Emad), Nakhla, M.S, Achar, R, & Farhan, M. (Mina). (2014). Fast variability analysis of general nonlinear circuits using decoupled polynomial chaos. In 2014 18th IEEE Workshop on Signal and Power Integrity, SPI 2014 - Proceedings. doi:10.1109/SaPIW.2014.6844543
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