This is honestly the best explained series I have yet to see on youtube. Good job!

@andrielmontenegro2027

2 жыл бұрын

Is there another series that the Guy gets even close to this one? Because he just stopped to post :(

@youngmoo-kim

Жыл бұрын

@@andrielmontenegro2027 Sorry, I got sidetracked with other projects. Just posted a new video today… I’m teaching the class again the Fall term, so there will be more videos coming soon!

@andrielmontenegro2027

Жыл бұрын

@@youngmoo-kim you have made my Day, tks, looking forward to it

@siddhanthramani5084

7 ай бұрын

Yes! Hidden gem. I hope more people will get to see it. The graphics are good and minimalist. The explanation crisp. And the simulations are spot on for understanding. @@youngmoo-kim Please do make more videos when you have the time on fundamental concepts. I do not know how the youtube algorithm works. But maybe you can try advertising it to students in universities, etc. I would also be happy to help in any way possible.

dude that aliasing visualization at 11:55 blew me away. It all made sense in that instant. It's the low end being reintroduced from the high end of the spectrum due to the negative frequency components. That taught me what 2 courses in signals/systems classes at university couldnt

I have recently taken a uni class on this and I must commend the way you explain! Also one of if not the best intro on all of youtube haha amazing

Great series! Really helpful and easy to understand for a beginner.

Great explanation! Thank you!

Great work and excellent videos, clear and concise. Thx ☺

These are so high quality

This is incredible. Please make more!

At 12:15, I think the sampling rate numbers must be a bit out of sync with what we are hearing because there is obvious aliasing even when it says 44.1 kHz, and the aliasing is already bad at 40 kHz. If CD audio has no frequencies above 20 kHz (which it shouldn't by standard), then there shouldn't be any aliasing at all if we sample it at 40 kHz. And even at 36 kHz, a 20 kHz sine wave should reflect off the 18 kHz Nyquist limit and become 16 kHz, which is extremely high frequency and almost inaudible for most adults. Yet the aliasing sounds far lower in frequency. Or maybe something is going wrong when you convert it back into 44.1 kHz (or 48 kHz) for KZread. What is going on here?

@youngmoo-kim

Жыл бұрын

Thanks for the catch! Yes, there's definitely an issue, and more aliasing than indicated in the animations. I believe there's a bug in my resampling code, which is approximately doubling the amount of aliasing at the same point in time. I'll keep looking into this and post a link to a corrected version soon.

Awesome series! Thank you for your work.

Really well paced and animated. Well done, and thanks!

please keep going. this stuff is gold.

SUBSCRIBED !!!

Listen at 00:10:25 "These higher frequency sinusoid do exist they come into existence as soon as we sample.". Super!

Muchas gracias 🙏!!!

This was so hard to find!

amaziinnggg

Thank you! Where can I find #5 of the series? It is missing from your channel.

@youngmoo-kim

Жыл бұрын

It’s been long overdue, but I just posted it today. Sorry for the delay!

thanks where is part 5?

@youngmoo-kim

Жыл бұрын

Just posted it 😀 Apologies for the very long delay in getting it out. I’m teaching the class again this Fall, so there will be more videos coming soon!

@JGRStudios

Жыл бұрын

@@youngmoo-kim thanks a lot

If sampling frequency increase after nyquist frequency then also aliasing occurs right ? Is higher frequency component toke the place of lower frequency component or not ???? Is nyquist frequency is sampling frequency/2 Then sampling frequency= 2* highest frequency component of the signal or >=2 * highest frequency component of the signal

How can one knows the highest frequency component without doing an FFT?