Enjoying your comprehensible way of teaching in a very good pace to follow. Outstanding from many videos that just throw stuff at you.

@SoundSimulator

3 жыл бұрын

That really means a lot. Thank you so much for the supporting and encouraging words!

@glomerol8300

Жыл бұрын

Agreed. Flips the notion of 'talking head' on its head too... sort of.😉

I'm working through your videos and really enjoying the pace of them.

@SoundSimulator

3 жыл бұрын

Thank you so much, Ben! I'm glad to hear that you're enjoying the pace of these videos.

So good brother. You are a great educator.

@SoundSimulator

Жыл бұрын

I appreciate all the kind words, Michael! I'm glad that you're enjoying these tutorials!!

Thank you for watching. If you enjoyed this video, be sure to subscribe, like, and share. I'll be continuing to upload weekly. And if you have any questions, please feel free to let me know in the comments.

Badass Video as Always

@SoundSimulator

3 жыл бұрын

Thank you so much for watching! I really appreciate your continued support.

Great job as always 🙏🏻

@SoundSimulator

3 жыл бұрын

Thank you so much for your continued support! I'm glad you're enjoying these videos.

A lot of information un every frecuency / un montón de información en cada frecuencia, gracias / tanks ✌️

@SoundSimulator

3 жыл бұрын

Thank you as always!!

"Additive synthesis', eh? I call them cycloids. 😎

@SoundSimulator

2 жыл бұрын

This video could've been way more technical and nerdy but I didn't want it to be like an electrical engineering course I took in undergrad.

I don't want to be finicky, it's really a question. Aren't the sine wave or the Fourier transform approximations to sound waves rather than a fundamental physical characterization?

@SoundSimulator

3 жыл бұрын

Yeah, I think I should have used the word "approximations" when talking about Fourier transform. That's why we can't perfectly recreate any sounds by combining bunch of sine waves together. We can get close though and maybe with technology of the future we could get close to near perfect! Fourier transform/series still does help us understand the building blocks of sounds though. I guess it's kind of like how understanding about cells or atoms help us understand and approximate human bodies??

aCTuALLy A = 432 iF yOu diSaGREe UR WRONG!!1!

@SoundSimulator

2 жыл бұрын

Missed this comment. And it's actually A = 420.