Binarization effects in a correlator with noisy input data

Abstract

Correlations of binarized data and gray-scale data in the presence of additive noise are compared using two performance criteria (mean ratio and peak-to-sidelobe ratio). General expressions are provided to evaluate these performance measures as a function of input data length, bandwidth, and signal-to-noise ratio. We find that binarized correlators outperform gray-scale correlators when the input SNR_i exceeds a threshold level that depends on input bandwidth and sequence length.

© 1981 Optical Society of America

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