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I've crafted this example to be as simple as possible — there's no bad data, random fluctuation, time pressure, or hidden agenda obscuring the issues.
Experimental data for pressure fluctuation time series in a fluidized bed are analyzed by several distinct, but complementary methods.
Power spectral densities (PSDs) and autocorrelation functions are computed from the time series, permitting a detailed investigation of [CH] fluctuation time scales.
A relation is presented between the drift and diffusion coefficients of the FP equation and the Hurst exponent that has previously been used to describe the pressure fluctuation time series in terms of self-affine stochastic distributions.
In this part of the sequel we develop a continuum representation of the pressure fluctuation time series p t) for a fluidized bed (FB), analyzed in part I, by using stochastic methods based on the Markov processes.
Minimum number of data points required to get a stable fractal dimension for groundwater level fluctuation time series (∼1500) was found to be much smaller than that for velocity variations in an open channel (∼2500).
Similar(48)
When n increases, the fluctuation times of absolute errors may grow.
The fluctuation times of absolute errors are related to the number of nodes (n+1).
In other words, cells with brighter spots showed greater persistence, and in heterogeneous populations (high SD), persistence will appear greater because deviations from the field average (and therefore fluctuation times) are large.
Pressure fluctuations time series data obtained at different operating conditions were first analyzed to obtain the distribution of local Hölder exponents' estimates.
Unconventional methods are checked up for identification of trickling-pulsing flow regime transition in trickle-bed reactors from pressure fluctuations time series.
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