Reconstruction of signal phases for signals closer than the DFT frequency resolution
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Ingle, V., Kogon, S., and Manolakis, D.: Statisical and Adaptive Signal
Processing, Artech House, Norwood, USA, 816 pp., 2005. a
Markovsky, I. and Van Huffel, S.: Overview of total least-squares methods,
Signal Processing, 87, 2283–2302,
https://doi.org/10.1016/j.sigpro.2007.04.004, 2007. a
Ottersten, B., Viberg, M., and Kailath, T.: Performance analysis of the total
least squares ESPRIT algorithm, IEEE T. Signal Process., 39,
1122–1135, https://doi.org/10.1109/78.80967, 1991. a
Roy, R. and Kailath, T.: ESPRIT-estimation of signal parameters via rotational
invariance techniques, IEEE T. Acoust. Speech, 37, 984–995, https://doi.org/10.1109/29.32276, 1989. a
Schiffer, C.: Code to “Reconstruction of signal phases for signals closer than the DFT frequency resolution”, GitLab [code], available at: https://gitlab.com/iffer/closesignalseparation, last access: 23 September 2021. a