Sentence examples for mode decomposition of from inspiring English sources

We conducted time-series analysis using Empirical mode decomposition of seven decade-long nutrient concentration time-series in the agricultural Upper Big Walnut Creek watershed (Ohio, USA).

In the latter case, the MGHOF enables to perform the dynamic mode decomposition of the velocity and temperature fields for the finer grid resolution.

Results from Empirical Mode Decomposition of carbon and nitrogen time series suggest agreement with the prevailing assumption and coupling of benthic carbon dynamics with nitrate from late spring through fall during the 8 year sampling period for the temperate stream.

Fig. 10 Empirical mode decomposition of (T_{mathrm{EU}}).

Schlotthauer et al. [98] used empirical mode decomposition of pulse oximetry signals for automated OSAS screening.

Fig. 6 The residues from the empirical mode decomposition of the oxygen green line emission rates from 2000 to 0200 hrs JST, the nightly mean and the solar 10.7 cm radio flux.

Finally, an application of mode decomposition to the vibration signal of a deployable structure shows that the AR-EWT is more powerful than the original EWT.

Then a subset of filtered signals, each associated with certain energy-dominated components, are selected based on the maximal-spectral kurtosis minimal-redundancy criterion and the information-related coefficient, and further decomposed by empirical mode decomposition to extract sets of IMFs.

The Hilbert–Huang transform method, HHTM, is applied to perform a multi-resolution analysis by means of the empirical mode decomposition, EMD, of noisy pressure signals collected from a gas solid fluidized bed operating in slugging regime.

The dynamic mode decomposition (DMD) of the TR-PIV data during windows of decay and growth of intermittent oscillations in the pressure signal quantifies the contribution of the above dominant modes in terms of their temporal growth rates.

HHT consists of two main elements—(1) Empirical Mode Decomposition (EMD) of the source data into an adaptive basis called Intrinsic Mode Functions (IMFs) and (2) Hilbert spectral analysis of the IMFs to generate a time-frequency-energy representation.