Distinguishing fractional and white noise in one and two dimensions
classification
❄️ cond-mat
keywords
hurstexponentnoisecorrelationsdimensionsfractionaltwo-dimensionalwhite
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We discuss the link between uncorrelated noise and Hurst exponent for one and two-dimensional interfaces. We show that long range correlations cannot be observed using one-dimensional cuts through two-dimensional self-affine surfaces whose height distributions are characterized by a Hurst exponent lower than -1/2. In this domain, fractional and white noise are not distinguishable. A method analysing the correlations in two dimensions is necessary. For Hurst exponents larger than -1/2, a crossover regime leads to a systematic over estimate of the Hurst exponent.
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