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.Thesis (Ph.D.) -- University of Adelaide, School of Electrical & Electronic Engineering, 202
