2026-09-23T05:16:22Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/108186 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Hassanieh, Haitham Collins, Michael Liam 2020-08-26T23:58:46Z 2020-08-26T23:58:46Z 2022-08-26T23:58:55Z 2020-05-12 2020-05 A recent development integrating Internet-of-Things (IoT) sensing techniques with active noise cancellation (ANC) has demonstrated certain benefits over the conventional methods for ANC, including wideband cancellation without blocking the ear and non-causal adaptive filtering. These benefits, however, can only be observed in acoustic environments with a single noise source. This thesis presents a new design for an IoT-based active noise cancellation system that can effectively cancel multiple independent noise sources. By incorporating multiple reference microphone inputs, the new system can estimate the unique acoustic channels between different sources of noise and the listener. Through simulation and hardware experiments, this new design is evaluated and shown to achieve significant improvement in cancellation over the previous implementation of IoT-based ANC. Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-05-01 The student, Michael Collins, accepted the attached license on 2020-05-11 at 17:56. The student, Michael Collins, submitted this Thesis for approval on 2020-05-11 at 18:06. This Thesis was approved for publication on 2020-05-12 at 14:09. DSpace SAF Submission Ingestion Package generated from Vireo submission #15340 on 2020-08-25 at 17:31:01 Made available in DSpace on 2020-08-26T23:58:46Z (GMT). No. of bitstreams: 2 COLLINS-THESIS-2020.pdf: 5289633 bytes, checksum: cac5ff11ba5d2a47423598bed6597f3f (MD5) LICENSE.txt: 4212 bytes, checksum: ed6b80e77f1578741a72f26b403821be (MD5) Previous issue date: 2020-05-12 Embargo set by: Seth Robbins for item 115799 Lift date: 2022-08-26T23:58:55Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system U of I Only application/pdf http://hdl.handle.net/2142/108186 en Copyright 2020 Michael Collins Active noise cancellation Scaling IoT-based noise cancellation to multiple noise sources text Thesis Electrical & Computer Eng Electrical & Computer Engr University of Illinois at Urbana-Champaign Thesis M.S.