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Wavelet methods for time series analysis Andrew T. Walden, Donald B. Percival
Publisher: Cambridge University Press

Furthermore, we found that our method permits to detect glacial signal in supposedly non-glacial sites, thereby evidencing glacial meltwater infiltrations. Technical Note: Using wavelet analyses on water depth time series to detect glacial influence in high-mountain hydrosystems. When this is done it is apparent that the earth entered a cooling phase in 2003-4 which will likely The pattern method doesn't lend itself easily to statistical measures. Dangles1,2,3 time series were acquired over the same period. Econometric Analysis, by Greene: classic text on theoretical econometrics. Wavelet methods for time series analysis Andrew T. In this paper, classical surrogate data methods for testing hypotheses concerning nonlinearity in time-series data are extended using a wavelet-based scheme. The only useful approach is to perform power spectrum and wavelet analysis on the temperature and possible climate driver time series to find patterns of repeating periodicities and project them forward. Publisher: Cambridge University Press Language: English Format: djvu. Than the previous methods, the error is actually roughly the same as for all other options we tried out. Computational Intelligence In Time Series Forecasting Popovic 2005.pdf. This gives a method for systematically exploring the properties of a signal relative to some metric or set of metrics. ISBN: 0521685087, 9780521685085. Thus, a wide class of analyses of relevance to geophysics can be undertaken within this framework. Colored noise and computational inference in neurophysiological (fMRI) time series analysis: resampling methods in time and wavelet domains. CSSPM - Percival D.B., Walden A.T. Filtering and wavelets and Fourier. - Wavelet Methods for Time Series Analysis, by Percival and Walden: standard theoretical text on wavelets. - Wavelet methods for time series analysis - CUP 2000 - ISBN 0521640687.djvu. Manfred Mudelsee: Climate Time Series Analysis: Classical Statistical and Bootstrap Methods (amazon). Bullmore E, Long C, Suckling J, Fadili J, Calvert G, Zelaya F, Carpenter TA, Brammer M.