Efficient AC and noise analysis of two-tone RF circuits
DAC '96 Proceedings of the 33rd annual Design Automation Conference
Spectral simulations of electromagnetic wave scattering
Journal of Computational Physics
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
Proceedings of the conference on Design, automation and test in Europe
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Proceedings of the 39th annual Design Automation Conference
Efficient finite-difference method for quasi-periodic steady-state and small signal analyses
Proceedings of the 2000 IEEE/ACM international conference on Computer-aided design
Bibliography on cyclostationarity
Signal Processing
Large and small signal distortion analysis using modified Volterra series
Analog Integrated Circuits and Signal Processing
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Most RF circuit analysis tools use either shooting-Newton or harmonic balance methods. Neither can efficiently achieve high accuracy on strongly nonlinear circuits possessing waveforms with rapid transitions. We present a multi-interval-Chebyshev (MIC) method that discretizes the circuit equations by dividing the simulation domain into a set of intervals whose size is adaptively chosen and using Chebyshev polynomials to represent the solution in each interval. The MIC method has excellent stability properties, is as effective at solving nonlinear problems as shooting techniques, can achieve high resolution on a wide variety of circuits, and in conjunction with an appropriate preconditioner can be combined with matrix-implicit Krylov-subspace solvers to analyze large circuits with moderate computational cost.