simSignalAndNoise | R Documentation |
This is a wrapper function to first simulate a proxy core array
(simCoreArray
), estimate the corresponding array spectra
(ObtainArraySpectra
), and finally separate for these simulated
data the common signal from the independent noise
(SeparateSignalFromNoise
).
simSignalAndNoise(signal.par, noise.par, nc, nt, res, df.log = NULL)
signal.par |
a named list with elements 'alpha' and 'beta' supplying the power-law parameters to simulate the common signal. |
noise.par |
as |
nc |
the number of proxy records ('"cores"') in the array. |
nt |
the length of each record in the array. |
res |
the sampling (e.g., temporal) resolution of the simulated proxy records; determines the frequency axis of the spectral estimates. |
df.log |
width of the Gaussian kernel in logarithmic frequency units to
smooth the spectral estimates; |
a named list of the three spectral objects 'signal', 'noise' and 'snr', giving the spectra of the estimated common signal, the independent noise, and the corresponding signal-to-noise ratio (SNR), respectively.
Thomas Münch
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