Wavelets allow for a more flexible characterization of time series than both spectral and classical time series methods, by representing them with basis functions that separate between time and scale. In this paper, we briefly present the main definitions and results of both wavelet (IBVL). We denoise the series, separate trend and cycle, and present a Monte Carlo estimation of the fractal dimension of the series.
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