Signal discrimination device using neural network

Image analysis – Histogram processing – For setting a threshold

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395 23, 382 14, G06F 1518, H03M 100

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active

052874303

ABSTRACT:
A signal discrimination device using a neural network for discriminating input signals such as radar reception signals includes an adaptive code generator means for generating codes for representing the discrimination categories. The distances between the codes for closely related categories are smaller than the distances between the codes for remotely related categories. During the learning stage, the neural network is trained to output the codes for respective inputs. The discrimination result judgment means determines the categories by comparing the outputs of the neural network and the codes for the respective categories.

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"Radial Basis Function Classification of Pulse Radar Waveforms" C. Vrckovnik, C. R. Carter, S. Haykin Jun. 17-21, 1990.

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