DMD algorithms for experimental data processing in combustion
type: Dataset
description: The present study aims at investigating the parameters influencing the quality of the dynamic mode decomposition when applied to experimental data from turbulent com- bustion. It is shown that the choice of the snapshots and the decomposition methodology have a strong influence on the mode spectra and the frequency resolution. Finally, the simultaneous decomposition of experimental data is performed with optimal parameters showing the quantitative information which can be obtained to highlight the coupling mechanisms involved in combustion instabilities.
issued: 2026-05-11T00:58:41.391188
language: en
modified: 2026-05-11T00:58:41.391193
contact point: Organization
  fn: CCSD
keyword: book-sections
keyword: combustion-instabilities
keyword: dmd
keyword: infoeu-reposemanticsbookpart
keyword: post-processing
keyword: spifluidengineering-sciences-physicsreactive-fluid-environment
landing page: Proceeding of the 2012 Summer Program

DMD algorithms for experimental data processing in combustion
type: Distribution
format: HTML
issued: 2026-05-11T00:58:41.392942
modified: 2026-05-11T00:58:41.382275
access URL: https://hal.science/hal-00825509

test_moissonnage_selune
type: Agent