2. Sampling Theorem - Digital Audio Fundamentals

In this video, we take the first step at the process of converting a continuous signal into a discrete signal for processing within the digital domain, and take a stab at the Nyquist Shannon Sampling Theorem which dictates how often a continuous signal needs to be sampled to accurately recreate it back. There is a lot of misconceptions regarding sample rate and its implications, and this video should hopefully help in clear them up by looking at sampling rates more objectively, or atleast give you a starting point for more exploration.

Find the full playlist here: https://www.youtube.com/playlist?list=PLbqhA-NKGP6B6V_AiS-jbvSzdd7nbwwCw

Content:
0:00 Continuous vs discrete signals
2:35 Nyquist Shannon sampling theorem
5:53 Bandlimiting using low pass filter
6:40 Sampling examples in Audacity
12:30 Re-conversion of digital signals to analog signals
16:43 Aliasing artifacts
19:20 Practical sampling rate and outro

Audacity (Free audio editing software) - https://www.audacityteam.org/download/

Analog / digital demonstration with hardware analog equipment - https://xiph.org/video/vid2.shtml

This video series explains the fundamentals of digital audio, how audio signals are expressed in the digital domain, how they're converted and transformed and the limitations of working with digital signals.

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Check out the audio track in the intro and outro here: https://soundcloud.com/thrifleganger/tinderbox

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Видео 2. Sampling Theorem - Digital Audio Fundamentals канала Akash Murthy