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Type: Thesis
Title: Adaptive Algorithms Design for Active Noise Control Systems with Disturbance at Reference and Error Microphones
Author: Aslam, Muhammad Saeed
Issue Date: 2020
School/Discipline: School of Electrical and Electronic Engineering
Abstract: Active noise control (ANC) is a popular choice for mitigating the acoustic noise in the surrounding environment resulting from industrial and medical equipment, appliances, and consumer electronics. ANC cancels the low frequency acoustic noise by generating a cancelling sound from speakers. The speakers are triggered by noise control filters and produce sound waves with the same amplitude and inverted phase to the original sound. Noise control filters are updated by adaptive algorithms. Successful applications of this technology are available in headsets, earplugs, propeller aircraft, cars and mobile phones. Since multiple applications are running simultaneously, efficiency of the adaptive control algorithms in terms of implementation, computations and performance is critical to the performance of the ANC systems. The focus of the present project is on the development of efficient adaptive algorithms that perform optimally in different configurations of ANC systems suitable for real world applications.
Advisor: Shi, Peng
Lim, Cheng-Chew
Dissertation Note: Thesis (Ph.D.) -- University of Adelaide, School of Electrical & Electronic Engineering, 2020
Keywords: Active noise control
adaptive algorithms
feedforward ANC
acoustic feedback
feedback ANC
Provenance: This electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exceptions. If you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at:
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