The Mind Blowing Math Behind Fourier Transforms
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- Опубліковано 7 лют 2025
- I’m Ali Alqaraghuli, a postdoctoral fellow working on terahertz space communication.
I make videos to train and inspire the next generation of engineers. If you want to help me, share this video with a friend who might be interested in engineering.
The opinions in this video are my own and do not represent NASA or any other organization.
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Another Great Creative Physics Video!!! Thanks for Sharing!!! 👍😎
thanks for this vid, and congrats on 100k
Great video my bro❤
Thank you for the explanation. Great video!
Thank you for all the work you do for us!
I want to ask a question:
What is the intuitive understanding of the idea of "function"... What does it really mean?
What are it's origins?
Thank you for the knowledge! I have to learn these in about six weeks and this is super helpful!
Awesome video 🙏
Ali genuinely is Dazzling!
I am taking signals and systems this semester.
Great timing ! thanks
Radar was a great analogy!
My fav channel
Bro 100K nice 🎉🎉🎉
Thanks man for another tutorial
Hey Ali,
It's ecstatic to see you again!!
Btw when are you going to continue the complex number series eagerly waiting....
It's mind blowing that I'm learning this topic in electrical engineering at the age 20...
Bro like
It's not like two years ago I couldn't even get a simple derivative
An explanation/discussion of the FFT algorithm would be welcome.
Thank you, we always use fft on resolution in optics .
outstanding!
Bro dropped the part 2 right after I finished part 1
so we add a limit to get a rough estimation then increase the limit it to get a more precise answer.
You are best
So how would a machine even know what to look for in the first place? Lets say we want the exact equation of the bird's frequency (chirping)? How to guess their f(x)?
Second question, when you say correlator/radar, do you mean the signal that is sent back the second our machine detect the bird's frequency?
Make physics intuitive