Mark Glauser

TL;DR: In this paper, the authors present an approach to solve the problem of the "missing link" problem in the context of artificial neural networks, and propose a method to solve it.

TL;DR: In this article, the root mean square (RMS) velocities are computed from the estimated and original velocity fields and comparisons are made, in order to quantitatively assess the technique, and the results show that the complementary technique, which combines LSE and POD, allows one to obtain time dependent information from the POD while reducing the amount of instantaneous data required.

TL;DR: In this article, large-scale structures in a plane turbulent mixing layer are studied through the use of the proper orthogonal decomposition (POD) and extensive experimental measurements are obtained in a turbulent plane mixing layer by means of two cross-wire rakes aligned normal to the direction of the mean shear and perpendicular to the mean flow direction.

TL;DR: This study couples Particle Image Velocimetry (PIV) and multipoint wall pressure measurements using POD and LSE to estimate the full velocity field from the wall pressure alone and yields a sufficiently accurate estimate of the velocity field that the incipient condition can be detected.

TL;DR: In this article, a shot-noise decomposition is used to organize Fourier modes into coherent features, where the eigenfunctions are the harmonic ones and the coherent features are impossible to identify.