EEG signal analysis using machine learning

The MSc (Signal Processing) programme is designed for practicing engineers, hardware and software designers, R & D managers, and industry planners who seek an understanding of current approaches and evolving directions for DSP technologies. It is also intended for engineers who anticipate future...

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Main Author: Zhang, Enshang
Other Authors: Wen Bihan
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157260
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1572602023-07-04T17:47:11Z EEG signal analysis using machine learning Zhang, Enshang Wen Bihan School of Electrical and Electronic Engineering bihan.wen@ntu.edu.sg Engineering::Electrical and electronic engineering::Electronic systems::Signal processing The MSc (Signal Processing) programme is designed for practicing engineers, hardware and software designers, R & D managers, and industry planners who seek an understanding of current approaches and evolving directions for DSP technologies. It is also intended for engineers who anticipate future involvement in this area. Master of Science (Signal Processing) 2022-05-11T13:43:16Z 2022-05-11T13:43:16Z 2022 Thesis-Master by Coursework Zhang, E. (2022). EEG signal analysis using machine learning. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157260 https://hdl.handle.net/10356/157260 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Zhang, Enshang
EEG signal analysis using machine learning
description The MSc (Signal Processing) programme is designed for practicing engineers, hardware and software designers, R & D managers, and industry planners who seek an understanding of current approaches and evolving directions for DSP technologies. It is also intended for engineers who anticipate future involvement in this area.
author2 Wen Bihan
author_facet Wen Bihan
Zhang, Enshang
format Thesis-Master by Coursework
author Zhang, Enshang
author_sort Zhang, Enshang
title EEG signal analysis using machine learning
title_short EEG signal analysis using machine learning
title_full EEG signal analysis using machine learning
title_fullStr EEG signal analysis using machine learning
title_full_unstemmed EEG signal analysis using machine learning
title_sort eeg signal analysis using machine learning
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/157260
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