STUDY AND IMPLEMENTATION OF ACTIVE NOISE CONTROL FOR MAGNETIC RESONANCE IMAGING

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 effective 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 simulation. The Benchmark ANC algorithms (Filtered x-Least Mean square (FxLMS), Filtered x-Normalized Least Mean square (FxNLMS) and Filtered 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.