Great video! I came here from Technology Connect’s video on Nyquist-Shannon, I was struggling to follow so I came here for a dedicated lesson on the Nyquist frequency, and you explained it amazingly. Thank you!
@ThefamousMrcroissant
3 жыл бұрын
Very nice. Very clear visual representation of aliasing too. Brilliant, thank you!
@markk8941
3 жыл бұрын
Glad it was helpful.
@guliyevshahriyar
21 күн бұрын
very interesting topic. thank you very much
@ventriloquistmagician4735
15 күн бұрын
thank you brother
@dulmin_
4 жыл бұрын
Thank you sir! This was a wonderful explanation...
@ne204bu6
3 жыл бұрын
You are very welcome.
@theoryandapplication7197
3 ай бұрын
it is really useful video , great thanks sir
@donaldreay6599
2 жыл бұрын
@1.18 On the other hand if f0 = 2fs you might not obtain sample values that properly represent the signal. Suppose that the samples are taken at the zero crossing points of the sinusoid. The minimum sampling frequency is greater than (and not equal to) the highest frequency component in the signal. Nyquist states this but is often misquoted.
@ne204bu6
2 жыл бұрын
Exactly. In the video @1:24 consider drawing the orange dots at the zero crossing. What happens when you then connect those dots? ...
@Matoro342
3 жыл бұрын
I wish that given the formula f_0 = x*f_s, we referred to x more than the sample rate, as it is what really is useful in these equations and understanding the nyquist theorem. Additionally, it's basically why we have sample rates above twice the human hearing limit.
@barneymatherly3685
4 жыл бұрын
Thanks! Very clear presentation.
@ne204bu6
3 жыл бұрын
Glad it was helpful!
@miko_nba7510
6 ай бұрын
Great video
@semihsenyuz7436
Жыл бұрын
best explanation thank you sir
@jacobvandijk6525
2 жыл бұрын
@ 3:10 Nicely explained, but what does "Analog filtered at 200 Hz" mean? What exactly is filtered out and what's the relation with the sampling-rate?
@zneah1137
2 жыл бұрын
I have the same question
@jacobvandijk6525
2 жыл бұрын
@@zneah1137 Perhaps this video can help you. It made some sense to me ;-) kzitem.info/news/bejne/rIqV3o2do39of20
@zneah1137
2 жыл бұрын
@@jacobvandijk6525 thank you
@jacobvandijk6525
2 жыл бұрын
@@zneah1137 You're welcome.
@TheHardRage13
2 жыл бұрын
Is this what happens in analog to digital conversion?
@ne204bu6
4 жыл бұрын
Want to know more? Check out our book, mitpress.mit.edu/books/case-studies-neural-data-analysis and/or our website with examples in Python, mark-kramer.github.io/Case-Studies-Python/intro
@Khadijahilham
Жыл бұрын
how do we apply this to reconstruct our data?
@osamaalomari3736
3 жыл бұрын
Nyquist frequency is the minimum requie sampling rate to (prevent or obtain) aliasting?
@ne204bu6
3 жыл бұрын
The Nyquist frequency (= half the sampling rate) is the highest frequency you can hope to observe in the data. If even higher frequencies occur in the data, the process of sampling the data will alias those true high frequencies to lower frequencies.
@kevinlynn3797
4 жыл бұрын
What are you saying there - You observe the true grain signal? 0.50secs @NE204 BU
@ne204bu6
4 жыл бұрын
In this video, the black curve is the "true brain signal". That's what we'd like to observe. But we never get to. Instead, we observe a sampling of the signal (the green, yellow, or red dots). Sampling too slowly can cause problems.
@BalticLab
8 ай бұрын
2:20 Horrifying? Why is aliasing always described as something horrible and something that absolutely has to be avoided? Let me circumvent any answer by inviting you to Google Sub-Nyquist sampling! As long as the bandwith of the sampled signal doesn't exceed 1/2fs, it's an acceptable sampling method to sample in a higher Nyquist zone. And that's precisely what Nyquist said, it literally says bandlimited signal. Not "maximum frequency component contained in the signal"!.
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