1.5k citations · 1.8k across the 3 of their papers we have counts for
3 papers
Toward compressed DMD: spectral analysis of fluid flows using sub-Nyquist-rate PIV data
Jonathan H. Tu, Clarence W. Rowley, J. Nathan Kutz +1
Dynamic mode decomposition (DMD) is a powerful and increasingly popular tool for performing spectral analysis of fluid flows. However, it requires data that satisfy the Nyquist-Sha…
Compressive sensing and low-rank libraries for classification of bifurcation regimes in nonlinear dynamical systems
Steven L. Brunton, Jonathan H. Tu, Ido Bright +1
We show that for complex nonlinear systems, model reduction and compressive sensing strategies can be combined to great advantage for classifying, projecting, and reconstructing th…
On Dynamic Mode Decomposition: Theory and Applications
Jonathan H. Tu, Clarence W. Rowley, Dirk M. Luchtenburg +2
Originally introduced in the fluid mechanics community, dynamic mode decomposition (DMD) has emerged as a powerful tool for analyzing the dynamics of nonlinear systems. However, ex…