Signal integrity analysis of interconnect systems using neural networks

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KONDURU-THESIS-2021.pdf

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https://hdl.handle.net/2142/113925

Title: Signal integrity analysis of interconnect systems using neural networks
Author(s): Konduru, Juhitha
Issue Date: 2021-12-08
Director of Research (if dissertation) or Advisor (if thesis): Schutt-Ainé, José
Department of Study: Electrical & Computer Eng
Discipline: Electrical & Computer Engr
Degree Granting Institution: University of Illinois at Urbana-Champaign
Degree Name: M.S.
Degree Level: Thesis
Date of Ingest: 2022-04-29T21:35:52Z
Keyword(s): Neural network
Abstract: The simulation and analysis of interconnect systems are becoming challenging and time consuming with the increase in interface speeds. The analysis of the signal and power delivery networks of the complete high-speed links is often performed in time domain using a time-consuming approach of the time marching methods. However, the interconnect systems are accurately characterized in frequency domain. Analyzing interconnect systems in time domain without order reduction results in extreme inefficiency and inaccuracy. Therefore, this thesis discusses an efficient and unsupervised method for reducing the order of interconnect system for subsequent time domain simulation.
Graduation Semester: 2021-12
Type of Resource: Thesis
Permalink: http://hdl.handle.net/2142/113925

Graduate Theses and Dissertations at Illinois