Advanced signal processing on brain event-related potentials filtering ERPs in time, frequency and space domains sequentially and simultaneously
This book is devoted to the application of advanced signal processing on event-related potentials (ERPs) in the context of electroencephalography (EEG) for the cognitive neuroscience
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| Main Authors: | , , |
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| Format: | Book |
| Language: | English |
| Published: |
Hackensack, NJ
World Scientific
[2015]
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Table of Contents:
- Fourier Transform and Wavelet Transform by the Definition of Correlation-- Wavelet Filter Design Based on Frequency Responses for Filtering ERP Data with Duration of One Epoch
- Individual-Level Independent Component Analysis to Extract ERPs' Components from Averaged EEG Data Over Single Trials
- Multi-Domain Feature of an ERP Extracted by Nonnegative Tensor Factorization
- New Approach for Group-Level Analysis of EEPs
- Analysis of Ongoing EEG During Real-World Music Experiences by Nonnegative Tensor Factorization