Print Email Facebook Twitter A Parasitic Resistance Extraction Tool Leveraged by Image Processing Title A Parasitic Resistance Extraction Tool Leveraged by Image Processing Author Dias, Diogo (University of Lisbon) Goes, Joao (University of Lisbon) Lopes Marta da Costa, T.M. (TU Delft Bio-Electronics) Date 2022 Abstract Most academic and commercial tri-dimensional (3D) parasitic resistance extraction EDA/CAD tools rely on finite element methods (FEM) and are mainly suited to digital circuitry. In analog and mixed-signal (AMS) circuits, such as power converters and radio-frequency analog front-ends, the layout structures used for the metal interconnections become much more diversified and complex. This paper proposes an EDA/CAD tool, based on an innovative methodology for 3D parasitic resistance extraction, leveraged by image processing techniques and algorithms. Some practical examples are shown to demonstrate the attractiveness of the proposed tool. Moreover, since our tool efficiently works in the domains of 2D image processing, if an extensive database of layouts is provided and enough training is carried out, advanced deep-learning techniques can be straightforwardly employed, speeding up parasitic resistance extraction in highly complex AMS layouts. To reference this document use: http://resolver.tudelft.nl/uuid:a1a3d642-5743-4f71-aa25-1ffcee3a4933 DOI https://doi.org/10.1109/ISCAS48785.2022.9937879 Publisher IEEE, Danvers Embargo date 2023-07-01 ISBN 978-1-6654-8486-2 Source Proceedings of the 2022 IEEE International Symposium on Circuits and Systems (ISCAS) Event 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 2022-05-27 → 2022-06-01, Austin, United States Series Proceedings - IEEE International Symposium on Circuits and Systems, 0271-4310, 2022-May Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type conference paper Rights © 2022 Diogo Dias, Joao Goes, T.M. Lopes Marta da Costa Files PDF A_Parasitic_Resistance_Ex ... essing.pdf 643.37 KB Close viewer /islandora/object/uuid:a1a3d642-5743-4f71-aa25-1ffcee3a4933/datastream/OBJ/view