Sentence examples for mode decomposition is from inspiring English sources

EMD (Empirical Mode Decomposition) is an adaptive signal decomposition method and is exclusive of base functions.

Empirical mode decomposition is employed to decouple global degradation, local regeneration and various fluctuations in battery capacity time series.

For cases when the computed mutual intensity is fairly incoherent, a new "quasi-Schell" mode decomposition is proposed to reduce the number of patterns needed at the SLM by introducing partially coherent sources.

Then, Hough mode decomposition is performed to extract the contributions of different tidal modes for each decomposed tidal component.

The effectiveness of the proposed technique for the Lamb wave mode decomposition is investigated through numerical simulation and experimental tests performed on an aluminum plate.

Empirical mode decomposition is applied to decompose the original cooling load data series into several components with better outliers and behaviors.

In this study, the Hilbert–Huang transform (HHT) with empirical mode decomposition was applied to analyze the wind characteristics of offshore islands in Taiwan.

In literature, wavelet transform and empirical mode decomposition are two popular feature extraction methods used to analyze a signal having non-linear and non-stationary property.

Variational mode decomposition was developed by Dragomiretskiy and Zosso [96] to remove noise sensitivity and sampling problems that accompany standard EMD.

Empirical mode decomposition was used to identify temporal weather patterns that were correlated to headache incidence, and regression analysis was used to examine the amount of variance in headache incidence that could be explained by temperature in different seasons.

In an earlier paper by a subset of the authors [23], a new breathing function was proposed and the empirical mode decomposition was used to study the high-order frequency variation of a Jeffcott rotor with a transvers breathing crack.