"Signal recovery from autocorrelation and cross-correlation data" by Timothy J. Schulz and David G. Voelz
 

Signal recovery from autocorrelation and cross-correlation data

Document Type

Article

Publication Date

1-1-2005

Abstract

A signal recovery technique is motivated and derived for the recovery of several nonnegative signals from measurements of their autocorrelation and cross-correlation functions. The iterative technique is shown to preserve nonnegativity of the signal estimates and to produce a sequence of estimates whose correlations better approximate the measured correlations as the iterations proceed. The method is demonstrated on simulated data for active imaging with dual-frequency or dual-polarization illumination. © 2005 Optical Society of America.

Publication Title

Journal of the Optical Society of America A: Optics and Image Science, and Vision

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