Відео

this is actually vey helpfil

Wow amazing video! Thank you! <3

Great content, as always! Just a quick off-topic question: I have a SafePal wallet with USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). What's the best way to send them to Binance?

interesting

Sehr gut Danke

I get a u shape wave in my mechanical model of a quantum wave function. I also hear all wave function are consider before next phase change. Are wave functions various frequencies?

👍👍👍

Thanks a lot for this video!

Umm why not just overlap the FFT windows in time ?

Dear professor, I have to write this tutorial is phenomenal! Thanks a ton!

a vectangle ;)

amazing video, perfect for quick repetition before the exam 💫

a very informative and super efficient introduction.

What is momentum?

It was a great tutorial of Wavelet Transform. Thank you so much

Interesting.

Amazing proof! Greetings from Mexico!

Im interested in physics, currently 14, should i buy these? Which one, there are four of them on amazon. Which would be a good starter? Are there any others for beginners like me?

Why no comments?

سلام عليكم استاذ ممكن سؤال!

Great content and explanation! Finally understood the wavelets via the stft! Only had to set the speed to 1.5x and if you added 3b1b-style visualization it’d gonna be a bomb!

great video. where is the net video on ecg processing

Thanku for this video. I prepared for my exams and this helps me sooo much thankuuuu

Sir,could you please explain what is frequency resolution and time resolution?

On minute 5.15 the slide shown has an error; Hamiltonian has "N=adagger a" NOT "N=a adagger". I plan to include detailed significance of the correct normal order "N=adagger a" in my own video titled "(Charge Violating?) Particle Creation and Annihilation in Quantum Mechanics" to be uploaded soon on my channel ua-cam.com/channels/Qn5EexW-K8CzG4EdlijAFw.html. Meanwhile, you can see any good quantum mechanics book to see the correct lef-right order of a and adagger in any good book on quantum mechanics. (Dr.Bilal Masud, D. Phil. Oxford University, England.)

convolution

Thank you

very good video, make my brain rotation. like from China

Thnx

Pero ponele la música de Oppenheimer 😅

I hated in the beginning, like Fourier again, I'm here for wavelets, but it is actually great, it all now fits in for me, and now I understand STFT despite it sounded exotic. The video is not flashy, even worse black letters on white screen, but it does great job, explanation is just great!

Can you also derive Newton's law of gravitation without using kepler's law ?

Can you derive Kepler's law without using Newton's law of gravitation and second law of motion ?

This was great review! Thanks for uploading!

Thank you make more like these please

omg thank you soooo much!

Do you need to know calculus to buy this book

It's very intuitive, that helps a lot. Thank you for your work!

I struggled with this all semester long to find out its so simple omg Great video tho

very goood explanason , i bhery muchh appre c ate this thanku

Amazing explanation! Thank you

Hi what’s the age require for these books

THANK YOU! I'm going to have proof of calculus 3 and needed a clear proof of Green's theorem from Stokes's, but I couldn't find anything in my country (Brazil). Thank you very much, I will perform the steps in reverse and do them in the test

Superb explanation mate, simple and straight to the point!

Finally got it.🎉

5:55 "2 + 5 = 1 + 6 therefore 2 = 1 and 5 = 6" this is exactly your argument lol

Marvellous! I've been somewhat using an almost-wavelet transform for years without even knowing it lol. Thats because I've always been working on financial econometrics without any engineering background. When I first started, my friends who were working as QC engineers for a propellor manufacturer introduced to me a concept where I could model the cyclic components of the data not just by using variance and correlations, but more importantly, accurately modelling the durations of the periodic cycles. They explained how they can identify defects of enclosed, rotating parts without ever opening them up, and they would be correct every single time. Though, I wasn't really interested in the engineering part because I was too affixed on the concept. So I've been using a complex series of functions in python to do recursive FFT and Laplace transforms at different sliding intervals to capture time-frequency and time-resonance information for time series forecasting. I've always overlooked topics about wavelets without actually knowing how significantly they relate to me. Today, it was totally worth it to look into this subject as this will make my work so much easier. Thanks, whoever you are, keep it up!

Yes, I need find out more about the use of Wavelet transform, for analog video signal processing, but I need to find a simple cut down way of doing this.

thank u so much for this informative video

Wonderfully explained! thanks