Compressed Sensing and Dynamic Mode Decomposition

Explore the intersection of compressed sensing and dynamic mode decomposition (DMD) in this 31-minute video lecture. Learn how to compute DMD from under-sampled or compressed data, based on research by Steven L. Brunton, Joshua L. Proctor, Jonathan H. Tu, and J. Nathan Kutz. Dive into the concepts presented in their paper "Compressed Sensing and Dynamic Mode Decomposition" published in JCD. Access accompanying code and delve deeper into the topic through provided research papers. Gain valuable insights into leveraging compressed sensing techniques for efficient data analysis in dynamic systems.

Compressed Sensing and Dynamic Mode Decomposition