Brain Signal Processing Based on Wavelet Transform

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 207)

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.

Keywords

Wavelet transform Brain signal Signal processing’s Non-stationary random signal Threshold disposal 

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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Xinxiang College Chemical DepartmentXinxiangChina

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