Pink, Red, Blue and Violet Noise Generation with Matlab

Version 2.0.0.0 (7.12 KB) by Hristo Zhivomirov
Pink, red, blue and violet noise generation via spectral processing of a white noise.
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Updated 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)

Cite As

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 (2026). 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. Retrieved .

MATLAB Release Compatibility
Created with R2017b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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2.0.0.0

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1.8.0.0

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1.7.0.0

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1.6.0.0

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1.5.0.0

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1.4.0.0

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1.3.0.0

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1.2.0.0

A semantic error has been corrected in the code.
1.0.0.0