2026-09-22T11:09:20Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/113925 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Schutt-Ainé, José 2022-04-29T21:35:52Z 2021-12 Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-04-06 without embargo terms The student, Juhitha Konduru, accepted the attached license on 2021-12-08 at 14:43. The student, Juhitha Konduru, submitted this Thesis for approval on 2021-12-08 at 14:56. This Thesis was approved for publication on 2021-12-08 at 15:27. DSpace SAF Submission Ingestion Package generated from Vireo submission #17417 on 2022-04-06 at 17:11:11 Made available in DSpace on 2022-04-29T21:35:52Z (GMT). No. of bitstreams: 2 KONDURU-THESIS-2021.pdf: 835864 bytes, checksum: 8ce4bcbd7d243a35dc1ca5bc70e6d2b0 (MD5) LICENSE.txt: 4212 bytes, checksum: 53742c585de96be022cf004e6973954f (MD5) Previous issue date: 2021-12-08 application/pdf en text Signal integrity analysis of interconnect systems using neural networks Konduru, Juhitha 2021-12-08 Engineering 2022-04-29T21:35:52Z 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. Thesis eng http://hdl.handle.net/2142/113925 Copyright 2021 Juhitha Konduru Electrical & Computer Eng Electrical & Computer Engr University of Illinois at Urbana-Champaign Thesis M.S.