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! https://resources.nerdfirst.net/sampling


= 0612 TV =
0612 TV, a sub-project of NERDfirst.net, is an educational YouTube channel. Started in 2008, we have now covered a wide range of topics, from areas such as Programming, Algorithms and Computing Theories, Computer Graphics, Photography, and Specialized Guides for using software such as FFMPEG, Deshaker, GIMP and more!

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0612 TV Official Writeup: http://nerdfirst.net/0612tv
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= NERDfirst =
NERDfirst is a project allowing me to go above and beyond YouTube videos into areas like app and game development. It will also contain the official 0612 TV blog and other resources.

Watch this space, and keep your eyes peeled on this channel for more updates! http://nerdfirst.net/

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Disclaimer: Please note that any information is provided on this channel in good faith, but I cannot guarantee 100% accuracy / correctness on all content. Contributors to this channel are not to be held responsible for any possible outcomes from your use of the information.