Why Digital Audio Distorts: The Science of Aliasing
Insights from the Computerphile episode “Oversampling Data (Explained with Audio) - Computerphile”, published April 9, 2026.
In "Oversampling Data (Explained with Audio) - Computerphile" (Computerphile, April 2026), when digital audio processing creates harmonics that exceed the Nyquist-Shannon sampling limit, they 'mirror' back into the audible spectrum as harsh, inharmonic noise known as aliasing. Oversampling solves this by increasing the sample rate and using low-pass filtering to remove these artifacts, ensuring high-fidelity sound reproduction.
In "Oversampling Data (Explained with Audio) - Computerphile" (Computerphile, April 2026), the intended audience is: Audio engineers, digital signal processing students, and music producers.
When digital audio processing creates harmonics that exceed the Nyquist-Shannon sampling limit, they 'mirror' back into the audible spectrum as harsh, inharmonic noise known as aliasing. Oversampling solves this by increasing the sample rate and using low-pass filtering to remove these artifacts, ensuring high-fidelity sound reproduction.
Audio engineers, digital signal processing students, and music producers.
Topics: audio engineering, digital signal processing, aliasing, oversampling, audio production
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When digital audio processing creates harmonics that exceed the Nyquist-Shannon sampling limit, they 'mirror' back into the audible spectrum as harsh, inharmonic noise known as aliasing. Oversampling solves this by increasing the sample rate and using low-pass filtering to remove these artifacts, ensuring high-fidelity sound reproduction.
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