Properties of the entropy function encountered in physics and information theory are employed in the generation of highly selective spatial filters for pattern recognition. Computer simulations and laboratory experiments demonstrate efficient recognition of single patterns or classes even when these are submerged in high level random noise.
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Fleisher et al. (1990) studied this question.
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