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Optimal linear predisplay digital filters

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Abstract

The problem of reconstructing digital data with nonideal analog interpolators is addressed. A theoretical viewpoint is taken which specifies optimal data reconstructors when a predisplay digital filter is employed. This theory allows for a weighted error definition so that solutions with different desired qualities may be obtained. Results for Gaussian-profiled interpolators show that a factor of ~100 in reconstruction-error reduction is achieved with a 13-tap finite-impulse-response predisplay digital filter. The problem of writing negative digital values with incoherent light spots is shown to be avoidable if the signal is reconstructed on photographic film.

© 1983 Optical Society of America

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