What are the challenges of applying DMD to discrete-time dynamical systems?

Used to analyze the time-evolution of fluid flows, dynamic mode decomposition. (DMD) has quickly gained traction in the fluids community. The presence of cyclic expansions and contractions in the economy has been known for over a century. The work reported here searches for similar cyclic ... Feb 8, 2025 ... Huang, Qiuxiang, Kou, Jiaqing, Tian, Fang Bao, Young, John, Lai, Joseph C.S., & Ravi, Sridhar (2023) Dynamic mode decomposition for unsteady ... Feb 12, 2018 ... PyDMD: Python Dynamic Mode Decomposition ... Authors of JOSS papers retain copyright. This work is licensed under a Creative Commons Attribution ... Mar 21, 2025 ... Using Dynamic Mode Decomposition with control (DMDc), we analyze surface air temperature patterns from climate simulations to elucidate the ... Aug 29, 2024 ... We apply here an unsupervised data-driven algorithm, Dynamic Mode Decomposition (DMD), to sEEG recordings from five focal epilepsy patients. Abstract. This work develops compressed sensing strategies for computing the dynamic mode decomposition (DMD) from heavily subsampled or compressed data. The ... Oct 26, 2023 ... Dynamic mode decomposition (DMD) is an equation-free method originally developed in the field of fluid dynamics to investigate coherent ... A Dynamical Model for CSI Feedback in Mobile MIMO Systems using Dynamic Mode Decomposition.pdf · 516 KB · BibTEX. Last change on 16.08.2024 by F. Haddad · AIT ... ... method for computing Dynamic Mode Decomposition (DMD) evolution matrices, which we use to analyze dynamical systems. Unlike the majority of existing methods ...