Wavelet and spectral preprocessing functions (pyleoclim.utils.wavelet)
Performs anti-alis filter on a PSD. Experimental |
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Asserts that the arguments are all positive integers |
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Returns the weighted wavelet amplitude estimated from the original Foster method. No multiprocessing |
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Returns the weighted wavelet amplitude using the original method from Kirchner. Supports multiprocessing |
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Return the weighted wavelet amplitude (WWA) modified by Kirchner. No multiprocessing |
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Returns the weighted wavelet amplitude (WWA) modified by Kirchner. Supports multiprocessing |
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Return the weighted wavelet amplitude (WWA) modified by Kirchner using Numba package. |
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Returns the weighted wavelet amplitude (WWA) modified by Kirchner. Uses Fortran. Fastest method but requires a compiler. |
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Return the cone of influence. |
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Return the angular frequency based on the time axis and given frequency vector |
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Return the power spectral density (PSD) using the weighted wavelet amplitude (WWA). |
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Return the frequency vector based on the REDFIT recommendation. |
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Return the frequency vector based on the Welch’s method. |
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Return the frequency vector based on NFFT |
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Return the frequency vector based on scales |
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Return the frequency vector based on logspace |
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Make frequency vector |
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Estimate the power slope of a 1/f^beta process. |
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Translate psd slope to Hurst index |
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Return the theoretical power spectral density (PSD) of an autoregressive model |
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Select an ensemble table from a list |
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Return the theoretical psd of a fBM |
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Return the wwz function to use. |
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Return the truncated time series with NaNs deleted and estimate frequency vector and tau |
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Return the cross wavelet transform. |
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Return the cross wavelet coherence. |
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Reconstruct the normalized time series from the wavelet coefficients. |