Compressed Sensing and Dynamic Mode Decomposition Published 2016-05-14 Download video MP4 360p Recommendations 47:07 Hankel Alternative View of Koopman (HAVOK) Analysis [FULL] 43:29 Dynamic Mode Decomposition (Theory) 16:28 SVD Visualized, Singular Value Decomposition explained | SEE Matrix , Chapter 3 #SoME2 11:28 Why 5/3 is a fundamental constant for turbulence 1:18:44 Probabilistic ML - Lecture 1 - Introduction 1:02:46 Koopman Operator Theory Based Machine Learning of Dynamical Systems 15:09 Dynamic Mode Decomposition with control 21:04 Kernel Learning for Robust Dynamic Mode Decomposition 37:40 Wavelets-based Feature Extraction 07:40 What is the Singular Value Decomposition? 18:34 Berry's Paradox - An Algorithm For Truth 08:53 4 Basic Types of Cluster Analysis used in Data Analytics 56:49 From Compressed Sensing to Deep Learning: Tasks, Structures and Models 05:34 Terence Tao on Prime Numbers 12:02 Is Infinity Real? Similar videos 06:48 Compressed Sensing: Overview 18:18 Dynamic Mode Decomposition (Overview) 07:43 Dynamic Mode Decomposition (Examples) 11:07 Compressed Sensing: Mathematical Formulation 23:42 Physics-Informed Dynamic Mode Decomposition (PI-DMD) 08:15 Dynamic Mode Decomposition (Code) 09:44 Beating Nyquist with Compressed Sensing 40:35 Dynamic Mode Decomposition from Koopman Theory to Applications (Prof. Peter J. Schmid) 16:34 Residual Dynamic Mode Decomposition: A very easy way to get error bounds for your DMD computations 17:47 Sparse Sensor Placement Optimization for Reconstruction 30:32 Dynamic Mode Decomposition from Koopman: Theory to Applications (Prof. Peter J. Schmid) - Part 1 1:17:43 Richard Baraniuk, "Compressive Sensing," ECE Lecturer Series 32:29 mrdmd summary kutz More results