Signal processing¶
Basic processing procedures for time series (e.g., performing a z-score of a signal, or filtering a signal).
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Apply a z-score operation to one or several neo.AnalogSignal objects. |
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Computes an estimator of the cross-correlation function (Stoica et al., 2005). |
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Butterworth filtering function for neo.AnalogSignal. |
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Compute the wavelet transform of a given signal with Morlet mother wavelet. |
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Apply a Hilbert transform to a neo.AnalogSignal object in order to obtain its (complex) analytic signal. |
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Calculate the rectified area under the curve (RAUC) for a neo.AnalogSignal. |
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Calculate the derivative of a neo.AnalogSignal. |
References¶
Petre Stoica, Randolph L Moses, and others. Spectral analysis of signals. Prentice Hall, 2005.
Michel Le Van Quyen, Jack Foucher, Jean-Philippe Lachaux, Eugenio Rodriguez, Antoine Lutz, Jacques Martinerie, and Francisco J Varela. Comparison of hilbert transform and wavelet methods for the analysis of neuronal synchrony. Journal of neuroscience methods, 111(2):83–98, 2001.
Marie Farge. Wavelet transforms and their applications to turbulence. Annual review of fluid mechanics, 24(1):395–458, 1992.