1/F NOISE
' noise', or more accurately ' noise', is a signal or process with a power spectral density proportional to ,
:
where is the frequency. Typically use of the term focuses on noises with exponents in the range 0 < ''α'' < 2, that is, fluctuations whose structure falls in-between white () and brown () noise. Such "-like" noises are widespread in nature and a source of great interest to diverse scientific communities.
The "strict " case of ''α'' = 1 is also referred to as 'pink noise', although the precise definition of the latter term[1] is not a spectrum per se but that it contains equal energy per octave, which is only satisfied by a spectrum. The name stems from the fact that it lies in the middle between white () and red (, more commonly known as Brown or Brownian) noise[2].
The term 'flicker noise' is sometimes used to refer to noise, although this is more properly applied only to its occurrence in electronic devices due to a direct current. Mandelbrot and Van Ness proposed the name 'fractional noise' (sometimes since called 'fractal noise') to emphasise that the exponent of the spectrum could take non-integer values and be closely related to fractional Brownian motion, but the term is very rarely used.
| Contents |
| Description |
| Pink noise |
| Relationship to fractional Brownian motion |
| See also |
| References |
| Notes |
| Bibliography |
Description
In the most general sense, noises with a spectrum include white noise, where the power spectrum is proportional to = constant, and Brownian noise, where it is proportional to . The term black noise is sometimes used to refer to noise with an exponent ''α'' > 2.
Pink noise
1
Relationship to fractional Brownian motion
The power spectrum of a fractional Brownian motion of Hurst exponent H is proportional to:
See also
★ Colors of noise
★ Detrended fluctuation analysis
★ Hurst exponent
References
Notes
1. Federal Standard 1037C and its successor, American National Standard T1.523-2001.
2. Confusingly, the term "red noise" is sometimes used instead to refer to pink noise. In both cases the name springs from analogy to light with a spectrum: as ''α'' increases, the light becomes darker and darker red.
Bibliography
★ Low-frequency fluctuations in solids: noise, Dutta, P. and Horn, P. M., , , Reviews of Modern Physics,
★ noise, Keshner, M. S., , , Proceedings of the IEEE,
★
★ Fractional Brownian motions, fractional noises and applications, Mandelbrot, B. B. and Van Ness, J. W., , , SIAM Review,
★ Flicker noises in astronomy and elsewhere, Press, W. H., , , Comments on Astrophysics,
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