Matching pursuit with POD modes dictionaries in the analysis of 2D turbulence signals and images
Ch.H. Bruneau, P. Fischer, Z. Peter*, A. Yger
Institut de Mathématiques de Bordeaux, Université Bordeaux 1, 351 cours de la Libération, 33405 Talence, France
ABSTRACT
This paper is devoted to decomposition-reconstruction methods in the analysis of turbulence data, issued from a Direct Numerical Simulation of the two-dimensional Navier-Stokes equations. The Proper Orthogonal Decomposition (POD) method, based on the Hilbert-Schmidt theory, will be combined with the matching pursuit algorithm in order to localize the turbulent flow patterns that are coherents with a particular dictionary.
Keywords:
2D turbulence; Matching pursuit algorithm; Proper orthogonal decomposition