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Relationship between maximizing the signal-to-noise ratio and minimizing the classification error probability for correlation filters

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Abstract

For some correlation filters, maximizing the signal-to-noise ratio is equivalent to minimizing the probability of classification error (Pe) when the underlying probability distribution functions are Gaussian. For other filters, maximizing the signal-to-noise ratio does not automatically minimize Pe, so both should be considered separately when optimizing filter performance.

© 1992 Optical Society of America

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Correlation filters minimizing peak location errors

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J. Opt. Soc. Am. A 9(5) 678-682 (1992)

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