FAU Lecture Notes in Pattern Recognition

Blind Source Separation in a Nutshell

An Introduction to the Independent Component Analysis

Image under CC BY 4.0 from the Pattern Recognition Lecture

These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog and only minor manual modifications were performed. If you spot mistakes, please let us know!

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Welcome back to Pattern Recognition! Today we want to start looking into a special feature transform that is called the Independent Component Analysis. Essentially, today we want to introduce the idea and why independent components may be useful in terms of a feature transform.

Image under CC BY 4.0 from the Pattern Recognition Lecture

Let’s have a look at our slides. The Independent Component Analysis tries to address the cocktail party problem. Here imagine the situation that you have two microphones at different…