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. 2019 May 21;10(6):2918–2931. doi: 10.1364/BOE.10.002918

Fig. 2.

Fig. 2

Computationally simple axial tracking algorithm based on analysis of the interference spectrum. (A) Interference spectrum captured by the spectrometer at different path length mismatches. (B) The normalized autocorrelation, g1, of the interference spectrum as a function of lag, in units of Δλ, representing the wavelength shift corresponding to one spectrometer pixel. Note that the smaller path difference has a slower decay rate, and the decay rate can be determined from the normalized autocorrelation at a single lag. (C) The workflow of axial motion tracking, based on the background noise-corrected, normalized autocorrelation. Note that this algorithm does not require a Fourier transform.