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Arithmetic Fourier-transform calculation using fiber-optical parallel processors

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Abstract

The arithmetic Fourier transform is a number-theoretic method for calculating the Fourier coefficients of continuous-time signals. In this paper we present an efficient realization of the arithmetic Fourier-transform algorithm on an optical parallel processor consisting of fiber-optic tapped delay lines. The performance of the algorithm in the presence of optical errors and noise is analyzed. From the results of numerical experiments on a simple test signal, we observe that the performance of the algorithm is affected minimally by the errors of the optical system.

© 1990 Optical Society of America

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