Reduced-order modeling of large linear subcircuits via a block Lanczos algorithm
DAC '95 Proceedings of the 32nd annual ACM/IEEE Design Automation Conference
Analysis and Design of Analog Integrated Circuits
Analysis and Design of Analog Integrated Circuits
Efficient linear circuit analysis by Pade approximation via the Lanczos process
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Tools and methodology for RF IC design
DAC '98 Proceedings of the 35th annual Design Automation Conference
Reduced-order modelling of linear time-varying systems
Proceedings of the 1998 IEEE/ACM international conference on Computer-aided design
Proceedings of the 1998 IEEE/ACM international conference on Computer-aided design
Modeling and simulation of the interference due to digital switching in mixed-signal ICs
ICCAD '99 Proceedings of the 1999 IEEE/ACM international conference on Computer-aided design
Proceedings of the conference on Design, automation and test in Europe
Symbolic circuit-noise analysis and modeling with determinant decision diagrams
ASP-DAC '00 Proceedings of the 2000 Asia and South Pacific Design Automation Conference
New Efficient and Accurate Moment Matching Based Model for Crosstalk Estimation in Coupled RC Trees
ISQED '01 Proceedings of the 2nd International Symposium on Quality Electronic Design
Noise Macromodel for Radio Frequency Integrated Circuits
DATE '03 Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
Journal of Computational Physics
Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design
Using Stochastic Differential Equation for Verification of Noise in Analog/RF Circuits
Journal of Electronic Testing: Theory and Applications
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This paper introduces a new circuit noise analysis and modeling method. The noise analysis method computes an analytic expression of frequency, in rational form, which represents the Pad\'e approximation of the noise power spectral density. The approximation can be carried out efficiently, to the required accuracy, using a variant of the PVL~\cite{FelF95} or MPVL~\cite{FelF95b} algorithms. The new method is significantly more efficient than traditional methods for noise computation at numerous frequency points. In addition, it allows for a compact and cascadable modeling of noise that can be used in system level simulations.