Blind dispersion compensation for optical coherence tomography
  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. 
Konrad Banaszek, Aleksandr S. Radunsky, and Ian A. Walmsley