Modal decomposition techniques are showing a fast growth in popularity for their wide range
of applications and their various properties, especially as data-driven tools. There are many …

To identify the spatiotemporal coherent structure of compressor tip leakage flow, spectral
proper orthogonal decomposition (SPOD) is performed on the near-tip flow field and the …

In marine applications, estimating velocity fields or other states from limited data are
important as it provides a reference for active control. In this work, we propose PVNet …

We investigate the intermittency of the coupling behaviour in screeching twin round
supersonic jets at low Mach numbers across a range of nozzle spacings. Application of …

Experimental spatio-temporal flow data often contain gaps or other types of undesired
artifacts. To reconstruct flow data in the compromised or missing regions, a data completion …

The use of multitaper estimates for spectral proper orthogonal decomposition (SPOD) is
explored. Multitaper and multitaper-Welch estimators that use discrete prolate spheroidal …

The objective of this work is to investigate the influence of bend-twist coupling effects on the
cavitation behavior and hydroelastic response of four hydrofoils with identical geometry: one …

A novel data-driven modal analysis method, reduced-order variational mode decomposition
(RVMD), is proposed, inspired by the Hilbert–Huang transform and variational mode …

This study investigated the performance of proper orthogonal decomposition (POD), discrete
Fourier transformation (DFT), time-domain spectral proper orthogonal decomposition (td …

We aim to reconstruct the latent space dynamics of high dimensional, quasi-stationary
systems using model order reduction via the spectral proper orthogonal decomposition …