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cokelaer · Aug 3, 2017 · e33d0be · e33d0be
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 **Spectrum** is a Python library that includes tools to estimate Power Spectral Densities. Methods
 available are based on Fourier transform, parametric methods or eigenvalues analysis. 
 
-- The Fourier methods are based upon correlogram, periodogram and Welch estimates. Standard tapering windows (Hann, Hamming, Blackman) and more exotic ones are available (DPSS, Taylor, ...) [welch:1967],[marple:1987].
+- The Fourier methods are based upon correlogram, periodogram and Welch estimates. Standard tapering windows (Hann, Hamming, Blackman) and more exotic ones are available (DPSS, Taylor, ...)[harris:1978],[welch:1967],[marple:1987].
 - The parametric methods are based on Yule-Walker, BURG, MA and ARMA, covariance and modified covariance methods [marple:1987],[percival:1993].
 - Non-parametric methods based on eigen analysis (e.g., MUSIC) and minimum variance analysis are also implemented [marple:1987].
-- Multitapering is also available [percival:1993]
+- Multitapering method is also available [percival:1993]
 - Classical tools useful to spectral analysis and more generally signal processing such as window tapering [harris:1978] or transfer function are also available within the library.
 
 The following image shows the different methods of spectral estimation that are available in **Spectrum**.