title: Phase-gradient algorithm as an optimal estimator of the phase derivative.
abstract: The phase-gradient algorithm represents a powerful new signal-processing technique with applications to aperture-synthesis imaging. These include, for example, synthetic-aperture-radar phase correction and stellar-image reconstruction. The algorithm combines redundant information present in the data to arrive at an estimate of the phase derivative. We show that the estimator is in fact a linear, minimum-variance estimator of the phase derivative.
authors.forename: P H
authors.initials: PH
authors.lastname: Eichel
authors.forename: C V
authors.initials: CV
authors.lastname: Jakowatz