What is the Fourier Transform used for?

big fan of this explanation

Thank you for this wonderful tour

Thank you
You really brought me deep into very nice applications of fourier transform

Thank You so much for your explaination. This is what students should know before even they start learning. Because lot of them has not idea why even they are learning what they are learning. Many Thanks for your explaination.

perfect video and perfect examples !

Very nice Explaination of such confusing topics ,videos very helpful for my studies.🙏

good bike! i like it ❤‍🔥

Thank you. Your videos are helping me a lot. I gave me a break of telecommunication engineering course last year, and now I’m back, I’m trying to get all definitions and understandings back again. You teach in a so easy way, it’s amazing.

i am interested in Ft or FfT because it's used in Spectrum analyser but wondering why it's FfT which is used instead of ft and what is the difference between ft and FfT !

i only likes maths if it is explained by its application

perfect!

you are an inspiration sir

Such content should be definitely the introduction part of Fourier Transform mathematical course. This will definitely increase the level of participation and understanding of students knowing that they are starting to study something that has much more practical implementation and not just some boring theoretical thing.

thank you, this helps us alot

OMG. I love you so much, Prof. Iain. Keep going please! I always look forward to your new videos.

Thanks a lot for this explanation sir!

Awesome content.

Outstanding. Had a clear learning experience

Is it me Or anyone else also find this man like Heisenberg of Breaking Bad?
Btw loved the video...... Never seen such a practical explanation 🔥🔥🔥

Students are lucky in your offline classroom. Wish I'd one of them.

Please do more of these videos!!!
Love to see more of these real life applications and examples

Why is the information you get in the frequency domain more useful than the information you get in the time domain? (For the purposes of signal processing)

Nice explanation Professor! Your effort to explain Signal Processing Practically is very much appealing.!

thank you prof

Thank you sir

Amazing video! 👌

Thank you so much ❤

Awesome video. Thanks ian 🎉🎉

amazing content Ian!

I am following all of your videos in your channel and absolutely its really impossible to desribe how beneficial they are , really appriciate your effort thank you so much :)

I love how you've explained things in a practical manner. This helps in the understanding of Fourier Transform by examples. Thanks Iain!

Thanks a lot

Sir it's a nice video. These topics sometimes get too abstract to comprehend and it's very valuable to give some concrete real-world examples. Highly appreciated!

Could you make a video on spatial correlation in wireless MIMO systems?

Thank you very much, your making Telecommunication easy to understand.

This is so awesome Iain! I am in Signals and Systems this semster and studying filter design in another course. This video is very motivating!

Thank u for this superb video!

The picture with the FT from the frog and the bird: it is only an example, that's clear. From whole FT (picture left) you cannot get the FT of different animals, can you? You only know that both are inside, not more, I assume.

A topic I've been wondering for some time now is why in RF we capture and transform complex numbers, while acoustic applications are perfectly happy with real numbers. One explanation I have is that for acoustic, real time applications it's critical to add little or no delay, so often IIR filters are used, that add phase distortions. But apparently our ear is not so sensitive to phase (I guess, high frequency, but middle to low frequency phase distortions would mess with perceived direction of arrival). And what about image transforms, that again use DCTs?

Now, this example reminds me of the Audiomoth device. It's really cheap and quite wideband. It allows you to record bats way beyond the human acoustic range.

The Fourier Transform is also important in crystal structure solution, where one tries to obtain the atomic positions from a set of diffraction patterns. This is not necessarily a part of everyone's typical day, but it is for crystallographer's. And is also quite important since many modern inventions rely on knowing the internal symmetries of the crystals comprising them (pharmaceutics, energy, electronics). The Fourier Transform really is one of the greatest and widely used tools.