DMD Explained! (Dynamic Mode Decomposition) @JoelRosenfeld
DMD Explained! (Dynamic Mode Decomposition)  @JoelRosenfeld
Uploaded May 2021 | Updated September 2026, 1 day ago
Want to know what Dynamic Mode Decompositions are? This video gives an introduction to dynamic mode decomposition (DMD) in signal processing. We compare the method with other methods, such as Fourier Series and Principle Component Analysis (PCA), where we see that DMD gives custom data driven bases for your signal, while also exploiting the dynamic content of your signal.

Music:
Come 2gether by Ooyy
Video Call from Los Angeles by Trevor Kowalski
Dismantle by Peter Sandberg
Wrong by Dan Henig
Guardians + Tek by Craig Hardgrove

0:00 Start and Introduction
1:26 DMD Algorithm
2:12 Fourier Series Discussion
3:54 PCA Discussion
5:12 Decompositions for Linear Systems (The Goal)
9:06 Koopman Operators and DMD
13:57 Wrap up

The Face Dataset was from the standard Yale Eigenface data as found at databookuw.com
DMD Explained! (Dynamic Mode Decomposition)All that work for nothing! The Polylogarithmic Hardy Spacehe wrote this in secretGetting caught with facial recognition - How SVDs are used in Facial Recognition SoftwareTomography - Hilbert Spaces and OrthogonalityNailing the Job TalkWhat if it ISN’T unique?NEW CLASS! Data Driven Methods in Dynamical SystemsIntro to Operator Theory Lesson 1 ContinuedAn Introduction to Compact SetsINSIDE Oppenheimer’s Secret Homehow to learn PROOFs online
ThatMathThing |

DMD Explained! (Dynamic Mode Decomposition)

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER