TL;DR
This paper explores spectral proper orthogonal decomposition (SPOD), clarifies its relationship with dynamic mode decomposition (DMD) and resolvent analysis, and demonstrates its advantages in analyzing turbulent flows and coherent structures.
Contribution
It establishes theoretical links between SPOD, DMD, and resolvent analysis, highlighting SPOD's ability to capture coherent structures and account for statistical variability.
Findings
SPOD modes are optimally averaged DMD modes.
When expansion coefficients are uncorrelated, SPOD and resolvent modes are identical.
SPOD effectively captures space-time coherence in turbulent flows.
Abstract
We consider the frequency domain form of proper orthogonal decomposition (POD) called spectral proper orthogonal decomposition (SPOD). Spectral POD is derived from a space-time POD problem for statistically stationary flows and leads to modes that each oscillate at a single frequency. This form of POD goes back to the original work of Lumley (Stochastic tools in turbulence, Academic Press, 1970), but has been overshadowed by a space-only form of POD since the 1990s. We clarify the relationship between these two forms of POD and show that SPOD modes represent structures that evolve coherently in space and time while space-only POD modes in general do not. We also establish a relationship between SPOD and dynamic mode decomposition (DMD); we show that SPOD modes are in fact optimally averaged DMD modes obtained from an ensemble DMD problem for stationary flows. Accordingly, SPOD modes…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
