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doi: 10.1049/el.2012.0737
handle: 10985/8856
A new signals coding framework based on empirical mode decomposition (EMD) is introduced. EMD breaks down any signal into a reduced number of oscillating components called intrinsic modes functions (IMFs). Based on IMF properties, different coding strategies are presented. No assumptions concerning the linearity or the stationarity are made about the signal to be coded. Results obtained on ECG signals are presented and compared to those of wavelet coding.
Codage des signaux, Décomposition modale empirique, phase instantanée, fréquence instantanée, amplitude instantanée, modèle AR, signaux biomédicaux, ECG, Décomposition modale empirique, ECG, modèle AR, biomedical signals, instantaneous phase, AR model, instantaneous frequency, fréquence instantanée, signaux biomédicaux, 530, phase instantanée, 004, instantaneous amplitude, Codage des signaux, amplitude instantanée, Signals coding, empirical mode decomposition, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Sciences de l'ingénieur: Traitement du signal et de l'image, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Codage des signaux, Décomposition modale empirique, phase instantanée, fréquence instantanée, amplitude instantanée, modèle AR, signaux biomédicaux, ECG, Décomposition modale empirique, ECG, modèle AR, biomedical signals, instantaneous phase, AR model, instantaneous frequency, fréquence instantanée, signaux biomédicaux, 530, phase instantanée, 004, instantaneous amplitude, Codage des signaux, amplitude instantanée, Signals coding, empirical mode decomposition, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Sciences de l'ingénieur: Traitement du signal et de l'image, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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