Andrew Charest
Carleton University
11 Papers
85 Citations
Andrew Charest is an academic researcher from Carleton University. The author has contributed to research in topics: Rational function & Electronic circuit. The author has an hindex of 5, co-authored 11 publications.
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Papers
Compact Macromodeling of High-Speed Circuits via Delayed Rational Functions
TL;DR: In this article, a method for compact macromodeling of high-speed circuits with long delays, characterized by tabulated time-domain data, is presented. But this method is based on partitioning the response and subsequently approximating each partition with a low-order sum-of-exponentials, delayed in time domain, which can be efficiently analyzed using SPICE like simulators.
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Time Domain Delay Extraction-Based Macromodeling Algorithm for Long-Delay Networks
TL;DR: A new time-domain approach for compact macromodeling of multiport high-speed circuits with long delays, characterized by tabulated data, based on partitioning the data in the time- domain and subsequently, approximating each partition via delayed rational functions.
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Scattering Domain Passivity Verification and Enforcement of Delayed Rational Functions
TL;DR: In this paper, the authors introduce new algorithms for passivity verification and compensation of macromodels constructed from delayed rational functions in the scattering domain, where a frequency-dependent generalized eigenvalue is formulated to accurately determine the regions of passivity violation.
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Passivity verification and enforcement of delayed rational function macromodels from networks characterized by tabulated data
Andrew Charest,Michel Nakhla,Ram Achar,Changzhong Chen +3 more
- 12 May 2009
TL;DR: This paper proposes passivity verification and enforcement algorithms for delayed rational function macromodels of high-speed modules, characterized by tabulated data, and provides necessary theoretical foundation and validating examples.
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Delay Extracted Stable Rational Approximations for Tabulated Networks With Periodic Reflections
TL;DR: In this article, an efficient and stable macromodeling formulation for electrically long high-speed modules characterized by tabulated data is presented, which contains a reduced number of delayed rational terms for networks with dominant periodic reflections.
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