| An algorithm for frequency-domain noise analysis in nonlinear systems |
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Annual ACM IEEE Design Automation Conference
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Proceedings of the 39th annual Design Automation Conference
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New Orleans, Louisiana, USA
SESSION: Advanced simulation techniques
table of contents
Pages: 514 - 517
Year of Publication: 2002
ISBN ~ ISSN:0738-100X , 1-58113-461-4
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Downloads (6 Weeks): 6, Downloads (12 Months): 17, Citation Count: 2
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ABSTRACT
Many mixed-technology and mixed-signal designs require the assessment of the system's performance in the presence of signals that are best characterized as having continuous frequency spectra: for instance, the simulation of a circuit's behavior in the presence of electrical noise. This paper describes an algorithm for frequency-domain simulation of nonlinear systems capable of handling signals with continuous spectra. The algorithm is based on an orthogonal series expansion of the signals in the frequency domain. Thus it is, in a sense, the dual approach to frequency-domain simulation with respect to harmonic balance, which relies on a time-domain series expansion of the signals. Signal spectra are obtained from the solution of a system of nonlinear algebraic equations whose dimension increases with the desired spectral accuracy. Numerical results obtained on an optical amplifier are presented.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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[doi> 10.1145/240518.240572]
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CITED BY 2
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Xuan Zeng , Bank Liu , Jun Tao , Charles Chiang , Dian Zhou, A novel wavelet method for noise analysis of nonlinear circuits, Proceedings of the 2005 conference on Asia South Pacific design automation, January 18-21, 2005, Shanghai, China
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