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RMS (Root Mean Square) | openFrameworks

In sound visualization and acoustic analysis, RMS (Root Mean Square) is a highly important metric. Unlike instantaneous peak values, RMS takes the average of amplitudes over a certain time window (buffer size), which enables a more natural and perceptual representation of dynamics, loudness, and visualizations of audio signals.

Date:2025-06-20

OpenSimplex Noise: The Evolution of Noise Representation

One of the most widely used noise functions, particularly within generative art, is Perlin noise, a type of gradient noise. This article delves into its successors: Simplex Noise and OpenSimplex Noise. Furthermore, it provides a guide on implementing OpenSimplex Noise within the Processing environment.

Date:2025-04-24

/Update:2025-06-29

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