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» Gaussian process for nonstationary time series prediction
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ICASSP
2011
IEEE
13 years 10 days ago
Improved transient oscillation detection with multiwavelets
Multiwavelets have recently been used for analysis of transient oscillations. Here we use them for transient oscillation detection by incorporating them into two existing Morlet-b...
Melani I. Plett
ICASSP
2011
IEEE
13 years 9 days 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
CSDA
2006
103views more  CSDA 2006»
13 years 8 months ago
LASS: a tool for the local analysis of self-similarity
The Hurst parameter H characterizes the degree of long-range dependence (and asymptotic selfsimilarity) in stationary time series. Many methods have been developed for the estimat...
Stilian Stoev, Murad S. Taqqu, Cheolwoo Park, Geor...
HPDC
2009
IEEE
14 years 3 months ago
Trace-based evaluation of job runtime and queue wait time predictions in grids
Large-scale distributed computing systems such as grids are serving a growing number of scientists. These environments bring about not only the advantages of an economy of scale, ...
Omer Ozan Sonmez, Nezih Yigitbasi, Alexandru Iosup...
ITNG
2010
IEEE
14 years 1 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