  We propose a numerical method for compensating dispersion effects in optical
coherence tomography that does not require a priori knowledge of dispersive
properties of the sample. The method is based on the generalized
autoconvolution function, and its principle of operation can be intuitively
visualized using the Wigner distribution function formalism.
