Sampling, Aliasing & Nyquist Theorem | Thủ thuật hay nhất về thiết kế

Có phải là bạn đang muốn tìm hiểu nội dung nói về aliasing là gì có phải không? Hình như bạn đang muốn xem chia sẻ về chủ đề Sampling, Aliasing & Nyquist Theorem đúng không? Nếu đúng như vậy thì mời bạn xem nó ngay tại đây.

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Nội dung liên quan đến đề tài aliasing là gì.

Sampling is a core aspect of analog-digital conversion. One huge consideration behind sampling is the sampling rate – How often do we sample a signal so we can accurately recreate it?

This may seem trivial at first, but serious problems can arise if we use a bad sample rate, as this can lead to aliasing – The failure to reconstruct the original signal, causing it to appear as a completely different wave of a lower frequency.

To combat this problem, we have to make use of the Nyquist-Shannon Sampling Theorem, which tells us what sample rate to use to prevent aliasing from happening. Today, we take a look at all these points and see just how they link together, to allow us to have the common sample rates (eg. 44100 Hz) we see today!

Want to see it for yourself? Try your hands on this interactive web application, and see how sampling rate and the quality of the reconstructed signal go hand in hand!

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Hình ảnh liên quan đến chuyên mục Sampling, Aliasing & Nyquist Theorem.

Sampling, Aliasing & Nyquist Theorem
Sampling, Aliasing & Nyquist Theorem

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Tag liên quan đến chuyên mục aliasing là gì.

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Sampling, Aliasing & Nyquist Theorem.

aliasing là gì.

Rất mong những Kinh nghiệm về chủ đề aliasing là gì này có giá trị cho bạn. Cảm ơn bạn rất nhiều.

39 thoughts on “Sampling, Aliasing & Nyquist Theorem | Thủ thuật hay nhất về thiết kế”

  1. The thing you showed at 8:33 is completely wrong , you didn't consider a band limited signal which is mentioned in sampling theorem statement. When the signal is band limited you can't just draw any signal through those sampled points . There is only one possible signal that will go through those sampled points and have the necessary frequency components (after being band limited) which is the original signal . You don't get an approximation of the signal , you get the exact signal .

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  2. Isn't what is actually getting sampled is the electrical signal which a transducer (microphone) creates? The sampling (digital file) stores the amplitude and frequency information about the electrical signal which an amplifier will use to drive a speaker. The Nyquist principle is applied to the frequencies of the electrical signal, not really the soundwave but the electrical frequencies. I suppose it's more about recreating the fidelity of the electrical audio signal (electrical waves) rather than actual soundwaves. Although I understand that the electrical signal roughly mirrors the soundwaves, as interpreted by the transducer, whether positive or negative voltage or millivoltage. I've been trying to understand what is actually getting digitized in such signals.

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