Pink, Red, Blue and Violet Noise Generation with Matlab

Versión 2.0.0.0 (7,12 KB) por Hristo Zhivomirov
Pink, red, blue and violet noise generation via spectral processing of a white noise.
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Actualizado 17 jun 2023

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The present submission is a set of four Matlab functions that provides a generation of:
1) Pink (flicker) noise - power spectral density slope -3 dB/oct., -10 dB/dec.
2) Red (Brownian) noise - power spectral density slope -6 dB/oct., -20 dB/dec.
3) Blue noise - power spectral density slope +3 dB/oct., +10 dB/dec.
4) Violet (purple) noise - power spectral density slope +6 dB/oct., +20 dB/dec.
A few examples are given to clarify the usage of the functions. For convenience, the input and output arguments are given in the beginning of each function. The generated noise signal has a unity standard deviation and zero mean value.
The code is based on the theory described in:
[1] H. Zhivomirov. A Method for Colored Noise Generation. Romanian Journal of Acoustics and Vibration, ISSN: 1584-7284, Vol. XV, No. 1, pp. 14-19, 2018. (http://rjav.sra.ro/index.php/rjav/article/view/40/29)

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H. Zhivomirov. A Method for Colored Noise Generation. Romanian Journal of Acoustics and Vibration, ISSN: 1584-7284, Vol. XV, No. 1, pp. 14-19, 2018. (http://rjav.sra.ro/index.php/rjav/article/view/40/29)

Hristo Zhivomirov (2024). Pink, Red, Blue and Violet Noise Generation with Matlab (https://www.mathworks.com/matlabcentral/fileexchange/42919-pink-red-blue-and-violet-noise-generation-with-matlab), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2017b
Compatible con cualquier versión
Compatibilidad con las plataformas
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Inspiración para: randnd, Signal Stationarity Estimation with Matlab

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