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Time-frequency filtering of MEG signals with matching pursuit

Time-frequency filtering of MEG signals with matching pursuit

Authors: 
Gratkowski M., Haueisen J., Arendt-Nielsen L., Chen A.C. & Zanow F.
Year: 
2006
Journal: 
Journal of Physiology-Paris
Abstract: 

Timefrequencysignal analysis based on various decomposition techniques is widely used in biomedical applications. MatchingPursuit is a new adaptive approach for timefrequency decomposition of such biomedical signals. Its advantage is that it creates a concise signal approximation with the help of a small set of Gabor atoms chosen iteratively from a large and redundant set. In this paper, the usage of MatchingPursuit for timefrequencyfiltering of biomagnetic signals is proposed. The technique was validated on artificial signals and its performance was tested for varying signal-to-noise ratios using both simulated and real MEG somatic evoked magnetic field data.

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