Aliasing and Nyquist - Introduction & Examples

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1:20 cracked me up! A real example through audio lmao!
The content creator must have a good sense of humor!

rafatulhauque
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Very good video. It's a lot of info at first, but after re-watching, it really starts to sink in. Thank you!

RenKohana
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Why do people keep saying the Nyquist theorem allows the sampling rate to be *atleast* twice the highest frequency? Exactly twice the highest frequency would represent that highest frequency as a 0 on the y axis. It needs to be *more* than twice the highest frequency for the signal to be represented perfectly.

pasijutaulietuviuesas
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Awesome visual aids, I wish the textbook I'm reading used these

LucasAndrewSchweers
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the propellor warping is a consequence of rolling shutter effect. Not directly because of aliasing

anomalyp
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Aliasing doesn't cause digital images to look blurry. It causes them to look jagged. In the example with the blurry text, that is actually where anti-aliasing has been applied. The blurring is intentional to avoid the jaggedness, and although it looks blurry when zoomed in, it looks better than aliasing when zoomed out.

stephenrobertson
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Good video! Helps me understand the criterion well :)

tymothylim
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#sampling theorem is divided into two three types they are oversampling, Nyquist and undersampling. #nyquist sampling means perfect sampling ie fs=2fm. #undersampling means sample rate is below the perfect sample rate ie fs <2fm, aliasing effect is used in undersampling.

shruthi
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I disagree in what may seem a subtle way. If you capture a signal with a sample rate exactly twice the signal frequency, it aliases to anything from the full amplitude to zero output, depending entirely on where in the phase of the signal the captured samples are taken.

But this also means that if your capture rate is, say, 10Hz above that of the signal frequency, you will have a pulsing as the location of the captured samples changes on the waveform, creating a beat frequency of 10Hz in the sampled waveform.

I welcome corrections.

AlienRelics
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Aliasing happens with my eyes sometimes when i look at carwheels? Do we have fps in our eyes

Winsky
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It is wrong F_sampling should be > 2F_signal. In the video they have written >=.

afshink
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Let's use DA-AD conversion for re-sampling to keep steepness origin. Comparator operational amplifier can do it. Math-algorithmical ones(interpolation, LPF) creates global nonsenses even in audio. There is a many records, especially in movies, that combine 44100Hz music with 48k-192k sounds and dialogs. And its bad, when they using virtually re-computed signals in mixture. Class-A signal processing is the only way.

jirioto
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1:19 someone help him... he is drowning

akashjain
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Many of the examples in this clip is not aliasing, so better to look for other videos if you want learn what it actually is.

gurratell
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What TTS voice is that - I like it. Reminds me of the joke by Stephan Hawking, "yo mama so fat her escape velocity exceeds..."

tachometer-flac
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Circuits giving you a nigtmares? investigate androidcircuitsolver on google

phasorsystems
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thumbs up plz

























































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