210 citations · 1.3k across the 48 of their papers we have counts for
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physics.data-an2022★ 13 cited
Stochastic interpolation of sparsely sampled time series by a superstatistical random process and its synthesis in Fourier and wavelet space
Jeremiah Lübke, Jan Friedrich, Rainer Grauer
We present a novel method for stochastic interpolation of sparsely sampled time signals based on a superstatistical random process generated from a multivariate Gaussian scale mixt…
physics.data-an2020★ 24 cited
Stochastic interpolation of sparsely sampled time series via multi-point fractional Brownian bridges
J. Friedrich, S. Gallon, A. Pumir +1
We propose and test a method to interpolate sparsely sampled signals by a stochastic process with a broad range of spatial and/or temporal scales. To this end, we extend the notion…