Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Modern Digital and Analog Communication Systems 3e Osece
Modern Digital and Analog Communication Systems 3e Osece
Computer Methods for Circuit Analysis and Design
Computer Methods for Circuit Analysis and Design
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
SIAM Journal on Optimization
Fast, non-Monte-Carlo estimation of transient performance variation due to device mismatch
Proceedings of the 44th annual Design Automation Conference
Next-Generation Design and EDA Challenges: Small Physics, Big Systems, and Tall Tool-Chains
ASP-DAC '07 Proceedings of the 2007 Asia and South Pacific Design Automation Conference
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Performance bound analysis of analog circuits considering process variations
Proceedings of the 48th Design Automation Conference
Canonical symbolic analysis of large analog circuits with determinant decision diagrams
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Hierarchical approach to exact symbolic analysis of large analog circuits
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Proceedings of the 2013 ACM international symposium on International symposium on physical design
A fast analog circuit yield estimation method for medium and high dimensional problems
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
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In this article, we propose a new performance bound analysis of analog circuits considering process variations. We model the variations of component values as intervals measured from tested chips and manufacture processes. The new method first applies a graph-based analysis approach to generate the symbolic transfer function of a linear(ized) analog circuit. Then the frequency response bounds (maximum and minimum) are obtained by performing nonlinear constrained optimization in which magnitude or phase of the transfer function is the objective function to be optimized subject to the ranges of process variational parameters. The response bounds given by the optimization-based method are very accurate and do not have the over-conservativeness issues of existing methods. Based on the frequency-domain bounds, we further develop a method to calculate the time-domain response bounds for any arbitrary input stimulus. Experimental results from several analog benchmark circuits show that the proposed method gives the correct bounds verified by Monte Carlo analysis while it delivers one order of magnitude speedup over Monte Carlo for both frequency-domain and time-domain bound analyses. We also show analog circuit yield analysis as an application of the frequency-domain variational bound analysis.