Luis Elvira

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Efficient prediction of the substrate noise generated by digital sections is currently a major challenge in System-on-a-Chip design. In this paper a macromodel to accurately and efficiently predict the substrate noise generated by digital standard cells is presented. The macromodel accuracy is demonstrated for some simple circuits.
Efficient prediction of the substrate noise generated by large digital sections is currently a major challenge in System-on-a-Chip design. A macromodel to accurately and efficiently predict the substrate noise generated by digital standard cells is presented. The macromodel is generated from identification of the physical elements relevant to noise(More)
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