EEG Feature Extraction based on Holo-Hilbert Spectral Analysis and Autoencoder
碩士 === 國立中央大學 === 電機工程學系 === 106 === This paper discusses a new method of electroencephalography (EEG) signal feature extracting. The EEG signal is a non-linear non-stationary signal. Com-pared with the Fourier transform with hypothetical signal, the Hilbert Huang Transform (HHT) is more suitable fo...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/f4ujz8 |