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Worst-Case Optimization of a Digital Link for Wearable Electronics in a Stochastic Framework

Abstract : This paper demonstrates an optimization strategy for systems affected by uncertainties in the case of a textile interconnect line. Rather than simply conducting stochastic analysis at the end of the design process, tolerances are accounted for from the early stages of the flow. An unsupervised approach, used to describe the stochastic behavior of the line, is integrated within a heuristic optimization algorithm with the aim of selecting the optimal parameters of a passive equalizer.
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https://hal.univ-brest.fr/hal-03710961
Contributor : Noël Tanguy Connect in order to contact the contributor
Submitted on : Friday, July 1, 2022 - 9:45:14 AM
Last modification on : Friday, August 5, 2022 - 2:54:52 PM
Long-term archiving on: : Monday, October 3, 2022 - 4:06:25 PM

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cnf_spi_2022_final_v3.pdf
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  • HAL Id : hal-03710961, version 1

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Mihai Telescu, Riccardo Trinchero, Igor Simone Stievano, Noël Tanguy. Worst-Case Optimization of a Digital Link for Wearable Electronics in a Stochastic Framework. 26th IEEE Workshop on Signal and Power Integrity (SPI 2022), May 2022, Siegen, Germany. ⟨hal-03710961⟩

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