This paper reviews the problem of translating signals into symbols preserving maximally the information contained in the signal time structure. In this context we motivate the use of nonconvergent dynamics for the signal to symbol translator. We then describe a biologically realistic model of the olfactory system proposed by Walter Freemann that has locally stable dynamics but is globally chaotic. We present results of simulations and measurements obtained from a ...
This report addresses the rejection of confusers, the last piece of the work conducted under the contract F33615-97-1-1019. The performance of the information theoretic feature extraction is elucidated and compared with the traditional (perceptrons and template matchers) classifiers in the Moving and Stationary Target Acquisition and Recognition (MSTAR) database. But no performance evaluation would he complete without assessing the quality of the new classifier in rejection to confusers. Therefore, the ...
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