2002
DOI: 10.1016/s0098-3004(01)00044-9
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REDFIT: estimating red-noise spectra directly from unevenly spaced paleoclimatic time series

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Cited by 1,075 publications
(873 citation statements)
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“…A cyclostratigraphic analysis was performed in the BdlC-01 pollen time series. We used the REDFIT software (Schultz and Mudelsee, 2002) on the unevenly spaced pollen time series in order to identify cyclical changes in the vegetation through spectral peaks registered at different frequencies throughout the studied core.…”
Section: Methodsmentioning
confidence: 99%
“…A cyclostratigraphic analysis was performed in the BdlC-01 pollen time series. We used the REDFIT software (Schultz and Mudelsee, 2002) on the unevenly spaced pollen time series in order to identify cyclical changes in the vegetation through spectral peaks registered at different frequencies throughout the studied core.…”
Section: Methodsmentioning
confidence: 99%
“…The statistical significance of the correlation between changes in the SIC and 14 C production rate was evaluated based on comparisons to synthetic red-noise time series data. The synthetic data were modelled as a first-order autoregressive (AR1) process, following the procedure of Schulz and Mudelsee (2002), with a characteristic memory factor (f) equal to that obtained for the raw SIC data. A total of 10,000 synthetic SIC datasets were simulated using a Monte Carlo approach, and the correlation coefficients obtained between the synthetic SIC data and 14 C production rate were compared to those obtained for the actual SIC data.…”
Section: Statistical Significancementioning
confidence: 99%
“…The power spectrum of the reconstructed SIC record was computed using the public domain software program REDFIT, which applies the Lomb-Scargle Fourier transform (Schulz and Mudelsee, 2002). Similar to the more traditional Fourier analysis, the Lomb-Scargle method is based on a least-squares fit of sinusoids to the time series data.…”
Section: Spectral and Wavelet Analysesmentioning
confidence: 99%
“…The fit subroutine of TAUEST was also combined with the SPECTRUM frequency-analysis package for unevenly spaced data (Schulz and Stattegger, 1997) to quantify the analogue of persistence in the frequency domainFred noise (Schulz and Mudelsee, 2002).…”
Section: Introductionmentioning
confidence: 99%