A Denoising Method Based on CEEMD Wavelet Packet

doi:10.3969/j.issn.1006-2475.2020.09.013

Abstract

Abstract: Due to the characteristics of EEG is easy to be disturbed by noise, a method of the denoising EEG using CEEMD wavelet packet is proposed. Firstly, the EEG is decomposed by CEEMD to get a set of intrinsic mode function(IMF) components. Then the IMF component containing noise is denoised by wavelet packet threshold while the low-frequency IMF component of the signal is retained. Finally, the IMF components denoised by wavelet packet threshold and the reserved IMF components are accumulated and reconstructed to obtain the EEG after noise reduction. The experimental result shows that denoising of EEG using CEEMD wavelet packet can retain effectively the detailed characteristics of EEG when restraining noise， so as to achive good denoising performance.

Key words: electroencephalograph, denoising, complete ensemble empirical mode decomposition, wavelet packet

CLC Number:

TP391.9

SUN Xiao-juan, WANG Li. A Denoising Method Based on CEEMD Wavelet Packet[J]. Computer and Modernization, 2020, 0(09): 73-76.

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