2 Sampling Theorem Digital Audio Fundamentals

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=vrXGaFV1AmE

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: • Digital Audio Fundamentals • 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/ • References: • Principles of Digital Audio by Ken C. Pohlmann • 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. • If you've got any questions, suggestions or recommendations, type them out here, or send me a message on any of my social channels mentioned below. • A lot of time was spent on creating this series, and I plan to do more. So please consider subscribing if you wish to be notified about more releases in the future. And if you feel generous: / akashmurthy • Check out the audio track in the intro and outro here: / tinderbox • Check out my music here: https://farfetchd-official.bandcamp.com/ • Give me a shout here: • Facebook - / akash.murthy.319 • Instagram - / thrifleganger

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