Power Spectrum of Generalized Fractional Gaussian Noise
Author(s) -
Ming Li
Publication year - 2013
Publication title -
advances in mathematical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.283
H-Index - 23
eISSN - 1687-9139
pISSN - 1687-9120
DOI - 10.1155/2013/315979
Subject(s) - autocorrelation , spectral density , mathematics , gaussian noise , noise (video) , statistical physics , gaussian , spectrum (functional analysis) , range (aeronautics) , function (biology) , mathematical analysis , statistics , algorithm , computer science , physics , materials science , quantum mechanics , composite material , artificial intelligence , evolutionary biology , image (mathematics) , biology
Recently, we introduced a type of autocorrelation function (ACF) to describe a long-range dependent (LRD) process indexed with two parameters, which takes standard fractional Gaussian noise (fGn for short) as a special case. For simplicity, we call it the generalized fGn (GfGn). This short paper gives the power spectrum density function (PSD) of GfGn
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