Multivariate empirical mode decomposition and application to multichannel filtering
نویسندگان
چکیده
منابع مشابه
Multivariate empirical mode decomposition and application to multichannel filtering
Empirical Mode Decomposition (EMD) is an emerging topic in signal processing research, applied in various practical fields due in particular to its data-driven filter bank properties. In this paper, a novel EMD approach called X-EMD (eXtended-EMD) is proposed, which allows for a straightforward decomposition of monoand multivariate signals without any change in the core of the algorithm. Qualit...
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BACKGROUND Ensemble Empirical Mode Decomposition (EEMD) has been popularised for single-channel Electromyography (EMG) signal processing as it can effectively extract the temporal information of the EMG time series. However, few papers examine the temporal and spatial characteristics across multiple muscle groups in relation to multichannel EMG signals. EXPERIMENT The experimental data was ob...
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ژورنال
عنوان ژورنال: Signal Processing
سال: 2011
ISSN: 0165-1684
DOI: 10.1016/j.sigpro.2011.01.018