title: Regularized least squares phase sampling interferometry.
abstract: In phase sampling interferometry, existing temporal analysis methods are sensitive to border effects and cannot deal with missing data. In this work we propose a quadrature filter that allows a reliable dynamic phase measurement for every sample, even in the cases involving few samples or missing data. The method is based on the use of a regularized least squares cost function that enforces the quadrature character of the filter. A comparison with existing techniques shows the effectiveness of the proposed method.
authors: Optics Department, Universidad Complutense de Madrid, Facultad de CC Físicas, Ciudad Universitaria s/n Madrid 28040, Spain. aq@fis.ucm.es
authors: Juan Antonio
authors: JA
authors: Quiroga
authors: Julio Cesar
authors: JC
authors: Estrada
authors: Manuel
authors: M
authors: Servín
authors: Javier
authors: J
authors: Vargas