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Implementing a linear predictor model by Fourier holography

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Abstract

This paper shows that a 4f-scheme of Fourier holography with wave-front reversal in the correlation plane can be used to implement a multiple linear regression model that constructs the best prediction for random processes that are steady-state in the broad sense. An experimental illustration is given. © 2005 Optical Society of America

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