Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/157260
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZhang, Enshangen_US
dc.date.accessioned2022-05-11T13:43:16Z-
dc.date.available2022-05-11T13:43:16Z-
dc.date.issued2022-
dc.identifier.citationZhang, E. (2022). EEG signal analysis using machine learning. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157260en_US
dc.identifier.urihttps://hdl.handle.net/10356/157260-
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Electrical and electronic engineering::Electronic systems::Signal processingen_US
dc.titleEEG signal analysis using machine learningen_US
dc.typeThesis-Master by Courseworken_US
dc.contributor.supervisorWen Bihanen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Signal Processing)en_US
dc.contributor.supervisoremailbihan.wen@ntu.edu.sgen_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
Appears in Collections:EEE Theses
Files in This Item:
File Description SizeFormat 
afteramend_EnshangZhang_final.pdf
  Restricted Access
1.67 MBAdobe PDFView/Open

Page view(s)

33
Updated on Jun 27, 2022

Download(s)

2
Updated on Jun 27, 2022

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.