EEG Signals Denoising Based on MP Algorithm

Abstract

Abstract:

Abstract: Electroencephalograph(EEG) signals are usually interfered by noises during signal acquisition process. This paper uses the matching pursuit algorithm to separate EEG signals and noises, thereby removing noises, and the denoising effects are tested by signal to noise ratio and correlation coefficient. The experimental results show that this approach not only can effectively restrain the power frequency noise, but also be able to keep the shape feature of the EEG signal unchanged.

Key words: matching pursuit (MP)； overcomplete dictionary； electroencephalograph(EEG)； denoising； signaltonoise ratio

Key words:

, Key words: , matching pursuit (MP)； overcomplete dictionary； electroencephalograph(EEG)； denoising； signaltonoise ratio

CLC Number:

TP301.6

WANG Li. EEG Signals Denoising Based on MP Algorithm[J]. Computer and Modernization, 2014, 0(4): 102-104.

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