Denoising Data with FFT [Python]

This video describes how to clean data with the Fast Fourier Transform (FFT) in Python.

These lectures follow Chapter 2 from:
"Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz

This video was produced at the University of Washington

[adityams]

Dude this guy is crazy, I still cant believe these videos are free.Thank You for making it free means a lot.❤️

[somethingironic]

the way this video is setup, overlaying him, the code and a whiteboard, is really slick

[jerickandrerodriguezmotta]

I've spent many hours trying to apply FFT to my data and I've finally done it with your amazing explanation. For sure, the best Fourier Transform video.

[pipertripp]

Pure gold. Fourier analysis still feels a bit like voodoo to me as I'm just learning the basics, and your videos have been very helpful. The python examples are really handy. Thanks for taking the time to do these things in both MatLab and Python.

[m.espejo]

This has been very useful for me. I am a Mechanical Engineer and I am working in dynamic studies of steel structures. This method is very practical to apply to the acquisition of accelerometer data in dynamic tests. Thank you so much Steve!!!

[felicemorgigi]

People like you make the world a better place. Free education helps everybody in the end. Thank you.

[andrerangel]

Steve Brunton, I may never meet you in person but you helped me a lot with these videos. I wish you a good health and a prosper life.

[Via.Dolorosa]

Hi Steve, I watched many of your videos in Control the comments there are disable so I took this opportunity just to say thank you

[paulsenn]

this is mind-boggling-ly useful! (written after hours of scrolling in vain attempting to understand both the transform itself and the code that implements it .) Thank you!

[TNTsundar]

Brilliant. Just brilliant. The quality of this lecture is off the charts.

[abemartin]

Professor Brunton, I love all your videos.

[bArda]

I was watching you when I was in college for controls, life has brought us back together lol

[afghanexperts]

One of the best explanation I have ever seen ❤️❤️

[jinbobian]

Thanks very much! This really helps students who are struggling with denoising.

[babaksanaee]

This is so excellent. Absolutely the best, and most comprehensive video regarding real world FFT on youtube. Probably going to buy your book now. Thanks a lot!

[HarrierBr]

Very good explanation. GG for the backwards writing, REALLY nice.

[doneel.]

This is amazing! I am finally getting rid of the feeling that the topic is complicated thanks for these videos! I mean it is, but I also am capable of getting it with your explanation.

[Akshay-cytu]

just in love with the way u teach concepts

[afsinyilmaz]

Effective! Your amplitude at per unit time teaching is above threshold.

[goodlack]

one of the best channels I could've ever stumbled upon...immediately subscribed😅