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Principal Component Analysis (PCA)

Steve Brunton
13 min
Beginner
Video
Theory

Principal component analysis (PCA) is a workhorse algorithm in statistics, where dominant correlation patterns are extracted from high-dimensional data.

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Peter Ponders PID - InputShaping

Peter Nachtwey
21 min
Beginner
Video
Theory
Input shaping is used by cranes and other applications where a load that vibrates or swings needs to be moved into position without vibrating or oscillating ... See More

Digital Twins

Steve Brunton
8 min
Beginner
Video
Theory

This lecture discusses the use of data-driven digital twins in advanced model-based design and engineering, and the related digital thread, which ties together the data throughout an entire...

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Gain and Phase Margins Explained!

Brian Douglas
13 min
Beginner
Video
Theory

In this video I explain gain and phase margins. If you are confused by this topic I hope this video will help tie all of the concepts together that go into understanding what gain and phase...

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Fourier Series: Part 2

Steve Brunton
6 min
Beginner
Video
Theory

This video will show how to approximate a function with a Fourier series, which is an infinite sum of sines and cosines. We will discuss how these sines and cosines form a basis for the...

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Particle Filter Explained without Equations

Andreas Svensson
7 min
Beginner
Video
Theory

This video provides a quick graphical introduction to the particle filter. It does a good job building some intuition behind the filter without ever touching on any mathematics. It's worth a...

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