S
Srinath Penugonda
Researcher at Missouri University of Science and Technology
Publications - 10
Citations - 36
Srinath Penugonda is an academic researcher from Missouri University of Science and Technology. The author has contributed to research in topics: Electromagnetic interference & Polynomial chaos. The author has an hindex of 3, co-authored 9 publications receiving 26 citations.
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Journal ArticleDOI
Variability Analysis of Crosstalk Among Differential Vias Using Polynomial-Chaos and Response Surface Methods
TL;DR: The polynomial-chaos method and the response surface method are adopted to mathematically model the variability of crosstalk and the two methods are compared in terms of mathematical theories, sampling schemes, postprocessing, accuracy, efficiency, and limitations.
Proceedings ArticleDOI
Variability analysis of crosstalk among pairs of differential vias using polynomial-chaos and design of experiments methods
TL;DR: The variability of the worst-case crosstalk among differential vias in response to the change of the relative locations of the ground and the differential vIAS are studied in this work.
Proceedings ArticleDOI
Ground Bridge Effect on Reduction of Conducted Emission from Three-Phase Motor Drive System
Yuandong Guo,Srinath Penugonda,Minho Kim,June-Sang Lee,Jungrae Ha,Sangwon Yun,Jun Fan,Hongseok Kim +7 more
TL;DR: In this article, the authors performed an emission test for a three-phase motor drive system based on the CISPR 25 component-level testing setup for AM radio frequency band, which is from 530 kHz to 1.8 MHz.
Proceedings ArticleDOI
Studying the effect of drilling uncertainty on signal propagation through vias
TL;DR: In this article, the Monte Carlo (MC), stochastic collocation (SC) and design of experiments (DoE) methods are employed to quantify the drilling uncertainties in the abovementioned via structure.
Proceedings ArticleDOI
Fast Transmitter and Receiver Eye Diagrams Acquisition in the MIPI D-PHY Interface
TL;DR: A fast transmitter and receiver eye diagrams calculation methodology is necessary to predict the RX and TX performances of those devices to improve the quality of the signals.