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Spectral techniques for the analysis of tidal time series

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Summary

Three different methods are given for the Fourier analysis of time series leading to the determination of high reliable values of frequencies, amplitudes and phases of the inherent components. For two methods the hypothesis is made that the time series is sufficiently long to separate very close components, while for the third the frequencies are supposed to be given. Two of these methods have been applied to a time series obtained by sampling an artificial tidal function.

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References

  1. R. B. Blackman andJ. W. Tukey,The measurement of power spectra, (Dover Publications, New York, 1958).

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  2. J. W. Cooley and J. W. Tukey,An algorithm for the machine calculation of complex Fourier series, Math. of Comp.19, no. 20 (1965).

  3. J. W. Cooley, P. A. W. Lewis andP. D. Welch,The fast Fourier transform algorithm and its applications, IBM Research (1967).

  4. D. Hatzfeld,Étude préliminaire de l'influence océanique sur les marées terrestres d'inclinaison dans la région Pyrénéenne, Thèse présentée à la Faculté des Sciences de Paris (1970).

  5. G. Jobert,Sur les filtres numériques utilisés dans l'analyse harmonique, Bull. d'Inform. des Marées Terrestres, no 37 (1964).

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Zadro, M.B., Poretti, G. Spectral techniques for the analysis of tidal time series. PAGEOPH 95, 18–26 (1972). https://doi.org/10.1007/BF00878848

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  • DOI: https://doi.org/10.1007/BF00878848

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