Time-frequency filtering of MEG signals with matching pursuit. |
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Authors: | Maciej Gratkowski Jens Haueisen Lars Arendt-Nielsen Andrew C N Chen Frank Zanow |
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Institution: | Biomagnetic Center, Department of Neurology, Friedrich Schiller University Jena, Erlanger Allee 101, 07747 Jena, Germany. maciekg@biomag.uni-jena.de |
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Abstract: | Time-frequency signal analysis based on various decomposition techniques is widely used in biomedical applications. Matching Pursuit is a new adaptive approach for time-frequency 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 Matching Pursuit for time-frequency filtering 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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