STUDY AND IMPLEMENTATION OF ACTIVE NOISE CONTROL FOR MAGNETIC RESONANCE IMAGING
| dc.contributor.author | Skakova, Aktilek | |
| dc.date.accessioned | 2024-06-18T12:21:10Z | |
| dc.date.available | 2024-06-18T12:21:10Z | |
| dc.date.issued | 2024-04-19 | |
| dc.description.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. | en_US |
| dc.identifier.citation | Skakova, A. (2024). Study and Implementation of Active Noise Control for Magnetic Resonance Imaging. Nazarbayev University School of Engineering and Digital Sciences | en_US |
| dc.identifier.uri | http://nur.nu.edu.kz/handle/123456789/7895 | |
| dc.language.iso | en | en_US |
| dc.publisher | Nazarbayev University School of Engineering and Digital Sciences | en_US |
| dc.rights | Attribution 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
| dc.subject | Type of access: Open Access | en_US |
| dc.subject | Signal Processing | en_US |
| dc.subject | Active Noise Control | en_US |
| dc.subject | Magnetic Resonance Imaging | en_US |
| dc.title | STUDY AND IMPLEMENTATION OF ACTIVE NOISE CONTROL FOR MAGNETIC RESONANCE IMAGING | en_US |
| dc.type | Bachelor's thesis | en_US |
| workflow.import.source | science |