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2013 | OriginalPaper | Chapter

10. Brain Signal Processing Based on Wavelet Transform

Authors : Shao-hong Xu, Peng Yao

Published in: Informatics and Management Science IV

Publisher: Springer London

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Abstract

The paper introduces a new method to dispose brain signal with wavelet transform. The wavelet transform theory is widely used to deal with signals in time-frequency fields, especially to non-stationary signals which are hardly to be done by FFT. The brain signals mostly are non-stationary signals. The paper analyzes the brain signal trying to get when does the eyes’ movement happens through signal processing. The paper uses wavelet transform theories combing with soft threshold method to remove the wavelet coefficient that have nothing to do with eyes’ movement, then reconstruct the left coefficient. It will get exactly time when does the movements happen.

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Metadata
Title
Brain Signal Processing Based on Wavelet Transform
Authors
Shao-hong Xu
Peng Yao
Copyright Year
2013
Publisher
Springer London
Book
Informatics and Management Science IV

Print ISBN: 978-1-4471-4792-3

Electronic ISBN: 978-1-4471-4793-0

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-1-4471-4793-0_10

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