Pink, Red, Blue and Violet Noise Generation with Matlab

Version 2.0.0.0 (7,12 ko) par Hristo Zhivomirov
Pink, red, blue and violet noise generation via spectral processing of a white noise.
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Mise à jour 17 juin 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)

Citation pour cette source

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. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2017b
Compatible avec toutes les versions
Plateformes compatibles
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Remerciements

A inspiré : randnd, Signal Stationarity Estimation with Matlab

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