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» Signal extrapolation using Empirical Mode Decomposition with...
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ICASSP
2011
IEEE
12 years 8 months ago
Signal extrapolation using Empirical Mode Decomposition with financial applications
In order to extrapolate a signal, Empirical Mode Decomposition is used to decompose it into simpler components. Each component is individually extrapolated linearly, and the fina...
Nikolaos Tsakalozos, Konstantinos Drakakis, Scott ...
ICASSP
2008
IEEE
13 years 11 months ago
On the synchrony of empirical mode decompositions with application to electroencephalography
A novel approach to measure the interdependence of time series is proposed, based on the alignment (“matching”) of their Huang-Hilbert spectra. The method consists of three st...
Justin Dauwels, Tomasz M. Rutkowski, Franço...
ICASSP
2011
IEEE
12 years 8 months ago
Instantaneous phase tracking of oscillatory signals using emd and Rao-Blackwellised particle filtering
A new method for instantaneous phase tracking of oscillatory signals in a narrow band frequency range is proposed. Empirical mode decomposition (EMD), as an adaptive and data-driv...
Delaram Jarchi, Bahador Makkiabadi, Saeid Sanei
KES
2010
Springer
13 years 3 months ago
Evolving takagi sugeno modelling with memory for slow processes
Evolving Takagi Sugeno (eTS) models are optimised for use in applications with high sampling rates. This mode of use produces excellent prediction results very quickly and with lo...
Simon McDonald, Plamen P. Angelov
AGILE
2009
Springer
343views GIS» more  AGILE 2009»
13 years 11 months ago
Line Decomposition Based on Critical Points Detection
The problem of line simplification is a recurrent problem in cartography. The purpose is to remove irrelevant details while emphasising the main features of the line. Most of the ...
Eric Guilbert