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ICASSP
2008
IEEE
14 years 2 days 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 9 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 ...
ITNG
2010
IEEE
13 years 10 months ago
A Forecasting Capability Study of Empirical Mode Decomposition for the Arrival Time of a Parallel Batch System
This paper demonstrates the feasibility and potential of applying empirical mode decomposition (EMD) to forecast the arrival time behaviors in a parallel batch system. An analysis...
Linh Ngo, Amy W. Apon, Doug Hoffman
ICPR
2008
IEEE
14 years 6 months ago
Extending depth of field by intrinsic mode image fusion
Here, a versatile data-driven application independent method to extend the depth of field is presented. The principal contribution in this effort is the use of features extracted ...
Andreas Koschan, Harishwaran Hariharan, Mongi A. A...
CORR
2007
Springer
105views Education» more  CORR 2007»
13 years 5 months ago
Empirical Evaluation of Four Tensor Decomposition Algorithms
Higher-order tensor decompositions are analogous to the familiar Singular Value Decomposition (SVD), but they transcend the limitations of matrices (second-order tensors). SVD is ...
Peter D. Turney