Abstract:
The objective of the Capstone Project is
to study and implement the technique
called Active Noise Control (ANC).
The project aims to develop an effec-
tive ANC system for biomedical appli-
cations, namely Magnetic Resonance
Imaging to reduce the noise levels
generated during the imaging process.
The project involved a combination of
theoretical study, modeling and sim-
ulation. The Benchmark ANC algo-
rithms (Filtered x-Least Mean square
(FxLMS), Filtered x-Normalized Least
Mean square (FxNLMS) and Fil-
tered x-Variable Step-Size Least Mean
square (FxVSSLMS) ) were studied to
further compare their effectiveness in
terms of the steady-state performance,
convergence rate and computational
complexities based on the computer
simulations.