Local Average and Scaling Property of 1/f^(α) Random Fields
classification
🌊 nlin.AO
keywords
fieldsrandomaveragelocalalphaaverageddensitylocally
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We use the techniques developed in [1] to study the local average of random fields with spectral density $1/f^{\alpha}$. We study their scaling properties and show that the self-similarity of $1/f$ random fields is preserved under the local average. We study how the original random fields can be recovered from the locally averaged ones. We also study the derivative of the locally averaged random fields as a way to get the spectral density. Finally, we propose the generalization of local average by means of an arbitrary response function.
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