2026-09-20T04:24:00Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/115907 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Radhakrishnan, Chandrasekhar 2022-08 application/pdf en text Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-08-01 The student, Yue Yuan, accepted the attached license on 2022-07-19 at 20:46. The student, Yue Yuan, submitted this Thesis for approval on 2022-07-19 at 20:51. This Thesis was approved for publication on 2022-07-22 at 14:58. DSpace SAF Submission Ingestion Package generated from Vireo submission #17572 on 2022-11-16 at 10:54:55 Study of the transform domain model combination adaptive filter Yuan, Yue 2022-07-22 Adaptive Filter Model Combination In this thesis, we studied the model combination of adaptive filters to improve the fault tolerance of adaptive filters. The classic adaptive filter structure and algorithm is presented. The concept of model combination and transform domain adaptive filters and their contribution to fault tolerance of a system using adaptive filters is studied. Thesis eng https://hdl.handle.net/2142/115907 Copyright 2022 Yue Yuan M.S. Thesis Electrical & Computer Engr University of Illinois at Urbana-Champaign Electrical & Computer Eng